9,222 research outputs found
BITS 2017: The annual meeting of the Italian Society of Bioinformatics
Get PDFThis preface introduces the content of the BioMed Central journal Supplement related to the 14th annual meeting of the Bioinformatics Italian Society, held in Cagliari, Italy, from the 5th to the 7th of July, 2017
Quando hanno aperto la cella era già tardi perché...: suicidio e autolesionismo in carcere, 2002-2004
No full textL'articolo analizza il fenomeno dell'autolesionismo all'interno della popolazione detenuta nel sistema penitenziario italiano, considerando le correlazioni tra l'atto suicidario e le condizioni strutturali (sovraffollamento, promiscuità, livello dei servizi) e quelle biografiche e soggettive (età, permanenza in carcere, curriculum criminale, aspettative di libertà...). L'articolo indaga il fenomeno per come si sviluppa nel corso del periodo 2002-2004.This paper analyzes the phenomenon of self-harm between people in Italian jails, considering links between suicide, structural conditions (overcrowding, promiscuity, service quality) and personal characteristics (age, time passed in jail, criminal carrier, freedom expectation...). The paper analyzes the evolution of the phenomenon during the period 2002-2004
Devising novel performance measures for assessing the behavior of multilayer perceptrons trained on regression tasks
Get PDFThis methodological article is mainly aimed at establishing a bridge between classification and regression tasks, in a frame shaped by performance evaluation. More specifically, a general procedure for calculating performance measures is proposed, which can be applied to both classification and regression models. To this end, a notable change in the policy used to evaluate the confusion matrix is made, with the goal of reporting information about regression performance therein. This policy, called generalized token sharing, allows to a) assess models trained on both classification and regression tasks, b) evaluate the importance of input features, and c) inspect the behavior of multilayer perceptrons by looking at their hidden layers. The occurrence of success and failure patterns at the hidden layers of multilayer perceptrons trained and tested on selected regression problems, together with the effectiveness of layer-wise training, is also discussed
Nessuna salvezza per Jean Valjean: la giustizia secondo l’ispettore Javert. Recensione a L. Manconi – F. Graziani, Per il tuo bene ti mozzerò la testa. Contro il giustizialismo morale (Einaudi Stile libero, 2020)
No full textRecensione a L. Manconi – F. Graziani, Per il tuo bene ti mozzerò la testa.
Contro il giustizialismo moral
The treatment of chondral lesions of the knee with the microfracture technique and platelet-rich plasma
Get PDFPurpose: to assess the efficacy of associating the microfracture technique with platelet-rich plasma (PRP) injections in the treatment of chondral lesions to promote acceleration and optimization of the healing process compared with the traditional microfracture approach.
Methods: from September 2011 to August 2012, 20 patients (9 males and 11 females, aged 30-55 years) were treated. All presented with chondral lesions of the medial femoral condyle of the knee and a pain duration ranging from 8 to 12 months.
The patients were randomized into two groups (A and B). Group A was treated with the microfracture technique and a total of three intra-articular injections of PRP. Group B was treated with microfractures alone.
Clinical follow-up was performed at 3, 6 and 12 months after treatment. Clinical function was assessed on the basis of the International Knee Documentation Committee (IKDC) score. Pain was evaluated using a visual analogue scale (VAS).
Results: the patients in group A had a mean baseline IKDC score of 31.2, which rose to 84.2 at 12 months.
The IKDC scores in group B were at 30.1 at baseline and 81 at 12 months.
Conclusions: the results of our study suggest that functional recovery and resolution of pain are obtained more quickly in PRP-treated patients. We also observed a better functional outcome in the patients treated with the combination of PRP and microfractures, even at 12 months, although the difference was not statistically significant.
Level of evidence: level II, randomized clinical study
PhotoMonitoring: a new low-cost technique for landslide monitoring using multispectral data
Get PDFLandslides are widespread Natural hazards with significant social and economic impact, needing advanced monitoring and analysis technologies. In recent years, innovative and non-intrusive PhotoMonitoring (PM) techniques have attracted attention for their potential in landslide monitoring. These techniques offer the opportunity to enhance our understanding of landslide processes, contribute to risk mitigation, and provide new perspectives for geotechnical asset management. The research questions guiding this study include the applicability of non-invasive techniques like Digital Image Correlation (DIC) and Change Detection (CD) in monitoring rapid landslides, the additional information that PM techniques can offer compared to conventional methods, and the accuracy and reliability of measurements obtained through PM techniques, along with the development of new analysis methodologies to further enhance their potential. Throughout the thesis, the research explores PM techniques, focusing on specific case studies.
Chapter 2 illustrates the application of PM in combining various ground-based remote sensing tools for rockfall monitoring. The results show that PM techniques, particularly Gigapixel images combined with PM analysis, provide a unique view of deformations preceding rockfalls, thus improving the rockfall risk assessment.
Chapter 3 extends this investigation to the Pietrafitta Earth Flow, examining the integration of PM techniques using satellite images with other monitoring techniques such as T-InSAR, R-TS, and TLS. The results expose the suitability of PM techniques for improving the understanding of Earth Flow processes, bridging knowledge gaps left by conventional methods.
Chapter 4 delves deeper into the potential of PM techniques, expanding the discussion of DIC techniques to assess knowledge, control, and emergency monitoring of Earth Flows. The results suggest that PM analyses can be used in a range of ways and offer a huge amount of information for a variety of monitoring purposes.
In Chapter 5, the focus shifts to optical and thermal image processing for monitoring shallow landslides triggered by rainfall. The experimental application of PM techniques reveals their sensitivity in observing precursor signals of slope failure, highlighting their potential for Early Warning Systems.
Overall, all these sections demonstrate the high potential of PM techniques in various contexts, with different objectives, and using various data acquisition platforms, all aimed at monitoring rapid geological phenomena such as Rockfall and slow but impulsive processes such as Earth Flow and Shallow landslide.
The concluding section of this thesis addresses the research questions introduced in the introduction, providing answers based on the study's findings. It is evident that non-invasive PM techniques contribute significantly to the monitoring of rapid or slow but impulsive landslides and offer unique information not obtainable through conventional methods. The accuracy and reliability of PM measurements are highlighted, particularly when using high-resolution images. However, some limitations still exist, and these are thoroughly discussed.
Furthermore, the broader implications and prospects are explored, emphasizing the adaptability, cost-effectiveness, and versatility of PM techniques, particularly in understanding and monitoring landslide processes. This opens new opportunities for research and practical implementation. Finally, the increasing use of optical sensors and smartphones is discussed, further expanding the potential scope of data collection. These implications have led to the creation of "IntelligEarth," a start-up of Sapienza aimed at realizing the vision outlined in this thesis
A MultiAgent System for Retrieving Bioinformatics Publications from Web Sources
No full textDue to the enormous amount of information available on the Internet, extracting and classifying it has become one of the most important tasks. This principle is valid also while searching for scientific publications. This paper describes a system able to retrieve scientific publications from the Web throughout a text categorization process. To this end, a generic multiagent architecture has been customized according to the requirements imposed by the specific task. Experiments have been performed on publications extracted from BMC Bioinformatics and PubMed digital archives
Automatic Extraction and Classification of Bioinformatics Publications through a MultiAgent System
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