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Institution

University of Siena

EducationSiena, Italy
About: University of Siena is a education organization based out in Siena, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 12179 authors who have published 33334 publications receiving 1008287 citations. The organization is also known as: Università degli studi di Siena & Universita degli studi di Siena.


Papers
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Journal ArticleDOI
01 Oct 2012-Leukemia
TL;DR: Collectively, the EuroClonality (BIOMED-2) guidelines and consensus reporting system should help to improve the general performance level of clonality assessment and interpretation, which will directly impact on routine clinical management in patients with suspected lymphoproliferations.
Abstract: PCR-based immunoglobulin (Ig)/T-cell receptor (TCR) clonality testing in suspected lymphoproliferations has largely been standardized and has consequently become technically feasible in a routine diagnostic setting. Standardization of the pre-analytical and post-analytical phases is now essential to prevent misinterpretation and incorrect conclusions derived from clonality data. As clonality testing is not a quantitative assay, but rather concerns recognition of molecular patterns, guidelines for reliable interpretation and reporting are mandatory. Here, the EuroClonality (BIOMED-2) consortium summarizes important pre- and post-analytical aspects of clonality testing, provides guidelines for interpretation of clonality testing results, and presents a uniform way to report the results of the Ig/TCR assays. Starting from an immunobiological concept, two levels to report Ig/TCR profiles are discerned: the technical description of individual (multiplex) PCR reactions and the overall molecular conclusion for B and T cells. Collectively, the EuroClonality (BIOMED-2) guidelines and consensus reporting system should help to improve the general performance level of clonality assessment and interpretation, which will directly impact on routine clinical management (standardized best-practice) in patients with suspected lymphoproliferations.

385 citations

Journal ArticleDOI
TL;DR: A systematic reviewed studies conducted in the context of the three major Coronavirus outbreaks of the last two decades to investigate risk and resilience factors for PTSD and PTSS in HCWs found some variables were found to be of particular relevance as risk factors as well as resilience factors.
Abstract: The COronaVIrus Disease-19 (COVID-19) pandemic has highlighted the critical need to focus on its impact on the mental health of Healthcare Workers (HCWs) involved in the response to this emergency. It has been consistently shown that a high proportion of HCWs is at greater risk for developing Posttraumatic Stress Disorder (PTSD) and Posttraumatic Stress Symptoms (PTSS). The present study systematic reviewed studies conducted in the context of the three major Coronavirus outbreaks of the last two decades to investigate risk and resilience factors for PTSD and PTSS in HCWs. Nineteen studies on the SARS 2003 outbreak, two on the MERS 2012 outbreak and three on the COVID-19 ongoing outbreak were included. Some variables were found to be of particular relevance as risk factors as well as resilience factors, including exposure level, working role, years of work experience, social and work support, job organization, quarantine, age, gender, marital status, and coping styles. It will be critical to account for these factors when planning effective intervention strategies, to enhance the resilience and reduce the risk of adverse mental health outcomes among HCWs facing the current COVID-19 pandemic.

385 citations

Journal ArticleDOI
TL;DR: This is the first time that a protocol for protein extraction from olive leaf appears to give satisfactory and reproducible results, and is expected to be applicable to other recalcitrant plant tissues and could be of interest to laboratories involved in plant proteomics.
Abstract: The purpose of this research is to establish a routine procedure for the application of proteomic analysis to olive tree. Olive leaf tissue is notoriously recalcitrant to common protein extraction methods due to high levels of interfering compounds. We developed a protocol for isolating proteins suitable for two-dimensional electrophoresis (2-DE) from olive leaf. The remarkable characteristics of the protocol include: (i) additional grinding dry acetone powder of leaf tissue to a finer extent, (ii) after extensive organic solvent washes to remove pigments, lipids etc., using aqueous tricholoroacetic acid washes to remove water-soluble contaminants, and (iii) phenol extraction of proteins in the presence of sodium dodecyl sulfate. The final protein preparation is free of interfering compounds based on its well-resolved 2-DE patterns. The protocol can be completed within 3 h, and protein yield is approximately 2.49 mg.g(-1) of aged leaf. We also evaluated the protocol by immunoblotting with anti-tyrosinate alpha-tubulin antibody. To our knowledge, this is the first time that a protocol for protein extraction from olive leaf appears to give satisfactory and reproducible results. The protocol is expected to be applicable to other recalcitrant plant tissues and could be of interest to laboratories involved in plant proteomics.

385 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Matthew Abernathy1  +977 moreInstitutions (106)
TL;DR: In this paper, the results of a matched-filter search using relativistic models of compact-object binaries that recovered GW150914 as the most significant event during the coincident observations between the two LIGO detectors were reported.
Abstract: On September 14, 2015, at 09∶50:45 UTC the two detectors of the Laser Interferometer Gravitational-Wave Observatory (LIGO) simultaneously observed the binary black hole merger GW150914. We report the results of a matched-filter search using relativistic models of compact-object binaries that recovered GW150914 as the most significant event during the coincident observations between the two LIGO detectors from September 12 to October 20, 2015 GW150914 was observed with a matched-filter signal-to-noise ratio of 24 and a false alarm rate estimated to be less than 1 event per 203000 years, equivalent to a significance greater than 5.1 σ.

384 citations

Journal ArticleDOI
TL;DR: This paper provides algorithms based on mixed-integer linear or quadratic programming which are guaranteed to converge to a global optimum of hybrid dynamical systems, and suggests a way of trading off between optimality and complexity by using a change detection approach.

384 citations


Authors

Showing all 12352 results

NameH-indexPapersCitations
Johan Auwerx15865395779
I. V. Gorelov1391916103133
Roberto Tenchini133139094541
Francesco Fabozzi133156193364
M. Davier1321449107642
Roberto Dell'Orso132141292792
Rino Rappuoli13281664660
Teimuraz Lomtadze12989380314
Manas Maity129130987465
Dezso Horvath128128388111
Paolo Azzurri126105881651
Vincenzo Di Marzo12665960240
Igor Katkov12597271845
Ying Lu12370862645
Thomas Schwarz12370154560
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022221
20211,870
20201,979
20191,639
20181,523