121,870 research outputs found
The role of the motor-evaluation laboratory in the training of primary school teachers in Italy
No full textA Multi-Language Comparison of Influences on Author Verification using Character N-Grams
No full textWe create a new multi-language corpus for author verification based on Wikipedia talkpages, and evaluate the influence that differences in topic and time have on character n-gram author profiles. Topic alignment between two texts is found to increase author verification precision, and an authors writing style is found to change over time, but not more significantly after 3 years than after 1 year.Information ArchitectureWISElectrical Engineering, Mathematics and Computer Scienc
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
ML-Based Radiomics Analysis for Breast Cancer Classification in DCE-MRI
No full textBreast cancer is the most common malignancy that threatening women’s health. Although Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) for breast lesions characterization is widely used in the clinical practice, physician grading performance is still not optimal, showing a specificity of about 72%. In this work Radiomics was used to analyze a dataset acquired with two different protocols in order to train Machine-Learning algorithms for breast cancer classification. Original radiomic features were expanded considering Laplacian of Gaussian filtering and Wavelet Transform images to evaluate whether they can improve predictive performance. A Multi-Instant features selection involving the seven instants of the DCE-MRI sequence was proposed to select the set of most descriptive features. Features were harmonized using the ComBat algorithm to handle the multi-protocol dataset. Random Forest, XGBoost and Support Vector Machine algorithms were compared to find the best DCE-MRI instant for breast cancer classification: the pre-contrast and the third post-contrast instants resulted as the most informative items. Random Forest can be considered the optimal algorithm showing an Accuracy of 0.823, AUC-ROC of 0.877, Specificity of 0.882, Sensitivity of 0.764, PPV of 0.866, and NPV of 0.789 on the third post-contrast instant using an independent test set. Finally, Shapley values were used as Explainable AI algorithm to prove an high contribution of Original and Wavelet features in the final prediction
A morphological three-dimensional analysis of the repeatability of two attacks in traditional shotokan karate
No full textThe vanishing author in computer-generated works: a critical analysis of recent Australian case law
No full textAbstract
The use of software is ubiquitous in the creation of many copyright works, yet the requirement in copyright law that every work have a human author who engages in independent intellectual effort means that its use may prevent copyright subsistence. Several recent Australian cases have refocused attention on authorship as an essential criterion of copyright subsistence, and these cases suggest that much computer-produced output may be authorless and thus lack copyright protection. This article, the first in a two-part series, analyses how each case deals with the question of authorship of computer-produced works and why the use of software diminishes copyright protection for a significant number of computer-generated works. The article critiques the application of conventional notions of human authorship developed in the pre-computer age to modern productions and suggests alternative approaches to authorship that satisfy both the major objectives of copyright policy and the need to adapt to the computer age. The article argues that, without a broader judicial approach to authorship of computer-generated works, Parliament must remedy the lacuna in protection for these ‘authorless’ works. Possible solutions for reform are suggested. In a forthcoming article, the author comprehensively examines those reform proposals
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
Novelties in Primary and Metastatic GEP-NENs Clinical Outcome Investigation
No full textIntroduction: Gastro-entero-pancreatic neuroendocrine neoplasms (GEP- NENs) WHO classification, using strict cut-offs, should reflect their biological features. In real world, strict cut-offs not adequately segregate prognostic groups, in particular on metastasis (M). Aim(s): To investigate GEP-NENs clinical outcome in primary tumors (T) and M. Materials and methods: 264 patients from 3 Italian centers were analyzed regarding: morphology, mitoses and Ki67 considering both in T, lymph node (N) and M. Ki67 and mitoses were studied both as WHO cut-offs (namely Ki67 LI – MI) and in continuous scale (namely Ki67-Mitoses). Clinical endpoints were overall survival (OS) and relapse-free survival (RFS). With same aim T stage, N, and tumor deposits (TD) were considered. Results: Ki67 LI (HR 1.16, 95% CI 1.11-1.22, p<.0001) and MI (HR 1.08, 95% CI 1.06-1.10, p<.0001) remained the strongest OS predictors. Patients were divided into 3 groups according to origin: ileum/jejunum (Group 1), pancreas (Group 2) and all other sites (Group 3). Group 3 showed worse RFS (HR 1.94, 95% CI 1.19-3.16, p=.008). The continuous scale was more reliable to predict RFS (HR 1.11, 95% CI 1.08-1.14, p<.0001 for a 5-point increase in Ki67 and HR 1.05, 95% CI 1.04-1.07, p<.0001 for 1 mitotes point increase, for the combination of all three groups) compared to the current cut- offs. At multivariable analysis, Ki67 (HR 1.14, 95% CI 1.06-1.22, p=.0006), TD (HR 4.70, 95% CI 3.17-6.98, p<.0001) and pancreatic origin (HR 1.50, 95% CI 1.01-2.21, p=0.04 compared to group 1), were the best RFS predictor. Conclusion: Ki67 LI and MI were the strongest OS predictors. Moreover, RFS could be better predicted by continuous scales mode in both Mitoses and Ki-67 and by TD study
Targeted Genomic Profiling and Chemotherapy Outcomes in Grade 3 Gastro-Entero-Pancreatic Neuroendocrine Tumors (G3 GEP-NET)
No full textBackground: Grade 3 gastro-entero-pancreatic neuroendocrine tumors (G3 GEP-NET) are poorly characterized in terms of molecular features and response to treatments. Methods: Patients with G3 GEP-NET were included if they received capecitabine and temozolomide (CAPTEM) or oxaliplatin with either 5-fluorouracile (FOLFOX) or capecitabine (XELOX) as first-line treatment (chemotherapy cohort). G3 NET which successfully undergone next-generation sequencing (NGS) were included in the NGS cohort. Results: In total, 49 patients were included in the chemotherapy cohort: 15 received CAPTEM and 34 received FOLFOX/XELOX. Objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were 42.9%, 9.0 months, and 33.6 months, respectively. Calculating a Ki67 cutoff using ROC curve analysis, tumors with Ki67 ≥ 40% had lower ORR (51.2% vs. 0%; p = 0.007) and shorter PFS (10.6 months vs. 4.4 months; p < 0.001) and OS (49.4 months vs. 10.0 months; p = 0.023). In patients who received FOLFOX/XELOX as a first-line treatment, ORR, PFS, and OS were 38.2%, 7.9 months, and 30.0 months, respectively. In the NGS cohort (N = 13), the most mutated genes were DAXX/ATRX (N = 5, 38%), MEN1 (N = 4, 31%), TP53 (N = 4, 31%), AKT1 (N = 2, 15%), and PIK3CA (N = 1, 8%). Conclusions: FOLFOX/XELOX chemotherapy is active as the first-line treatment of patients with G3 GEP-NET. The mutational landscape of G3 NET is more similar to well-differentiated NETs than NECs
Dissipative Range Scaling of Higher Order Structure Functions for Velocity and Passive Scalars
No full textDifferently to Kolmogorov's second similarity hypothesis, we find that the 2n-th order velocity and scalar structure functions scale with n-th order moment of the energy dissipation and the scalar dissipation, respectively. The origins of this scaling are analyzed by the transport equations of the fourth order velocity and scalar increment moments and by direct numerical simulations
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