Institution
University of Modena and Reggio Emilia
Education•Modena, Italy•
About: University of Modena and Reggio Emilia is a education organization based out in Modena, Italy. It is known for research contribution in the topics: Population & Medicine. The organization has 8179 authors who have published 22418 publications receiving 671337 citations. The organization is also known as: Università degli Studi di Modena e Reggio Emilia & Universita degli Studi di Modena e Reggio Emilia.
Topics: Population, Medicine, Cancer, Context (language use), Computer science
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a comprehensive assessment of the sliding and abrasive wear behaviour of WC-10Co4Cr hardmetal coatings, representative of the existing state-of-the-art, is presented.
Abstract: his paper provides a comprehensive assessment of the sliding and abrasive wear behaviour of WC–10Co4Cr hardmetal coatings, representative of the existing state-of-the-art. A commercial feedstock po ...
136 citations
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TL;DR: An innovative approach that is able to analyze efficiently high volumes of network traffic to reveal weak signals related to data exfiltrations and other suspect APT activities is proposed, paving the way to novel forms of automatic defense aimed at early detection of APTs in large and continuously varying networked systems.
136 citations
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TL;DR: This paper deals with industrial applications of ML techniques, intending to clarify the real potentialities, as well as potential flaws, of ML algorithms applied to operation management, and a comprehensive review is presented and organized in a way that should facilitate the orientation of practitioners in this field.
Abstract: Machine Learning (ML) is a branch of artificial intelligence that studies algorithms able to learn autonomously, directly from the input data. Over the last decade, ML techniques have made a huge leap forward, as demonstrated by Deep Learning (DL) algorithms implemented by autonomous driving cars, or by electronic strategy games. Hence, researchers have started to consider ML also for applications within the industrial field, and many works indicate ML as one the main enablers to evolve a traditional manufacturing system up to the Industry 4.0 level. Nonetheless, industrial applications are still few and limited to a small cluster of international companies. This paper deals with these topics, intending to clarify the real potentialities, as well as potential flaws, of ML algorithms applied to operation management. A comprehensive review is presented and organized in a way that should facilitate the orientation of practitioners in this field. To this aim, papers from 2000 to date are categorized in terms of the applied algorithm and application domain, and a keyword analysis is also performed, to details the most promising topics in the field. What emerges is a consistent upward trend in the number of publications, with a spike of interest for unsupervised and especially deep learning techniques, which recorded a very high number of publications in the last five years. Concerning trends, along with consolidated research areas, recent topics that are growing in popularity were also discovered. Among these, the main ones are production planning and control and defect analysis, thus suggesting that in the years to come ML will become pervasive in many fields of operation management.
136 citations
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TL;DR: This study confirms that intrapleural talc carries good results in the treatment of malignant pleural effusion and should be offered to every patient with MPE, apart from terminally ill ones, provided that a satisfying lung re-expansion has been achieved.
Abstract: Objective: The aim of this study was to investigate the effectiveness, safety and appropriate mode of administration of intrapleural talc for pleurodesis, in the treatment of malignant pleural effusion (MPE). Methods: Prospective not randomized trial was conducted to compare thoracoscopic talc poudrage (TP) with tube thoracostomy and talc slurry (TS) for the local control of malignant pleural effusion. Both procedures were previously standardized; 6 g of talc was administered for each procedure. Only the patients with lung re-expansion after drainage entered the study. Patients at high risk for general anaesthesia, poor general conditions and short life-expectancy received talc slurry through a chest tube, at the bedside. All the other patients underwent videothoracoscopic talc poudrage,with a pneumatic atomizer, under general anaesthesia. Morbidity, 30-day freedom from recurrence and long-term results were assessed and the two groups were compared. Results: One hundred and nine patients entered the study (72 TP, 37 TS). Sixty-three patients in the TP group (87.5%) and 27 in the TS group (73%) had an immediate successful pleurodesis (p = 0.049); 53 patients (88.3%) and 16 patients (69.6%) had a successful pleurodesis 90 days after the procedure; 59 patients (81.9%) and 23 patients (62.2%), respectively, had a life-long pleural symphysis (p = 0.023). Adverse effects were generally mild: chest pain (36.1% in TP patients, 48.6% in TS patients) and fever (38.8% and 35.1%, respectively) were the more common but the difference was not significant between the two groups. We observed neither acute respiratory failure nor mortality due to the procedure. Conclusions: Our study confirms that intrapleural talc carries good results in the treatment of malignant pleural effusion. TP was significantly more effective than TS; both methods were safe but TS had a higher incidence of thoracic pain during the procedure. Talc pleurodesis should be offered to every patient with MPE, apart from terminally ill ones, provided that a satisfying lung re-expansion has been achieved. TP should be performed whenever possible; otherwise, a slurry bedside procedure will be worthwhile, even in patients with low performance status (PS), though poorerresults have to be expected. A careful selection is essential to define the proper technique.
136 citations
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TL;DR: The more proper and common suggestions to be applied in different hospital settings in offering rehabilitative programs and physiotherapy workforce planning for COVID-19 patients are formulated.
Abstract: Due to the exponential growth of the number of subjects affected by coronavirus disease 2019 (COVID-19), the entire Italian health care system had to respond promptly and in a very short time with the need of semi-intensive and intensive care units. Moreover, trained dedicated COVID-19 teams consisting of physicians were coming from different specialties (intensivists or pneumologists and infectiologists), while respiratory therapists and nurses have been recruited to work on and on without rest. However, due to still limited and evolving knowledge of COVID-19, there are few recommendations concerning the need in respiratory rehabilitation and physiotherapy interventions. The presentation of this paper is the result of a consensus promoted by the Italian societies of respiratory health care professionals who contacted pulmonologists directly involved in the treatment and rehabilitation of COVID-19. The aim was to formulate the more proper and common suggestions to be applied in different hospital settings in offering rehabilitative programs and physiotherapy workforce planning for COVID-19 patients. Two main areas of intervention were identified: organization and treatment, which are described in this paper to face the emergency.
136 citations
Authors
Showing all 8322 results
Name | H-index | Papers | Citations |
---|---|---|---|
Carlo M. Croce | 198 | 1135 | 189007 |
Gregory Y.H. Lip | 169 | 3159 | 171742 |
Geoffrey Burnstock | 141 | 1488 | 99525 |
Peter M. Rothwell | 134 | 779 | 67382 |
Claudio Franceschi | 120 | 856 | 59868 |
Lorenzo Galluzzi | 118 | 477 | 71436 |
Leonardo M. Fabbri | 109 | 566 | 60838 |
David N. Reinhoudt | 107 | 1082 | 48814 |
Stefano Pileri | 100 | 635 | 43369 |
Andrea Bizzeti | 99 | 1168 | 46880 |
Brian K. Shoichet | 98 | 281 | 40313 |
Dante Gatteschi | 97 | 727 | 48729 |
Roberta Sessoli | 95 | 424 | 41458 |
Thomas A. Buchholz | 93 | 494 | 33409 |
Pier Luigi Zinzani | 92 | 857 | 35476 |