scispace - formally typeset
Search or ask a question
Institution

University of Turin

EducationTurin, Piemonte, Italy
About: University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29607 authors who have published 77952 publications receiving 2480900 citations. The organization is also known as: Universita degli Studi di Torino & Università degli Studi di Torino.


Papers
More filters
Journal ArticleDOI
TL;DR: The newly published World Health Organization (WHO) Classification of Tumours of the breast features significant changes compared to earlier editions, and this review outlines the major changes.
Abstract: The newly published World Health Organization (WHO) Classification of Tumours of the breast features significant changes compared to earlier editions. In this review, we outline the major changes in this important reference source for those diagnosing tumours, or engaged in cancer research, and describe the significant changes. For breast cancer, the overview acknowledges the treatment-relevant subtypes of invasive carcinoma (based on ER and HER2 status) and new data is added to support the differences in pathogenesis, treatment response and prognosis of these clinically relevant groupings. The WHO Classification of Tumours is increasingly evidence-based, with a clear update cycle, improved quality of illustrations, as well as content, led by an editorial board comprising pathologists, but increasingly incorporating input from other disciplines. The advent of the new website allows the use of whole slide images, and hyperlinks to evidence or external bodies that produce guidance on staging or reporting.

375 citations

Journal ArticleDOI
01 Sep 2006-Pain
TL;DR: The findings indicate that placebo analgesia is finely tuned by prior experience and these effects may last, albeit reduced, several days, and may explain the large variability of the placebo responses that is found in many studies.
Abstract: Some studies indicate that placebo analgesia is stronger when pre-conditioning with effective analgesic treatments is performed, thereby suggesting that the placebo response is a learning phenomenon. Here we further tested this hypothesis in order to better understand when and how previous experience affects the placebo analgesic response. To do this, we used a conditioning procedure whereby the intensity of painful stimulation was reduced surreptitiously, so as to make the subjects believe that an analgesic treatment was effective. This procedure induced strong placebo responses after minutes, and these responses, albeit reduced, lasted up to 4-7 days. In addition, in a second group of subjects we repeated the same conditioning procedure 4-7 days after a totally ineffective analgesic treatment, and found that the placebo responses were remarkably reduced compared to the first group. Thus we obtained small, medium and large placebo responses, depending on several factors, such as the previous positive or negative experience of an analgesic treatment and the time lag between the treatment and the placebo responses. We also ran extinction trials, and found that these effects did not undergo extinction in a time span of several minutes. These findings indicate that placebo analgesia is finely tuned by prior experience and these effects may last, albeit reduced, several days. These results emphasize that the placebo effect is a learning phenomenon in which many factors come into play, and may explain the large variability of the placebo responses that is found in many studies.

375 citations

Journal ArticleDOI
Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3, Fausto Acernese4  +1692 moreInstitutions (195)
TL;DR: In this article, the authors reported the observation of gravitational waves from two compact binary coalescences in LIGO's and Virgo's third observing run with properties consistent with neutron star-black hole (NSBH) binaries.
Abstract: We report the observation of gravitational waves from two compact binary coalescences in LIGO’s and Virgo’s third observing run with properties consistent with neutron star–black hole (NSBH) binaries. The two events are named GW200105_162426 and GW200115_042309, abbreviated as GW200105 and GW200115; the first was observed by LIGO Livingston and Virgo and the second by all three LIGO–Virgo detectors. The source of GW200105 has component masses 8.9−1.5+1.2 and 1.9−0.2+0.3M⊙ , whereas the source of GW200115 has component masses 5.7−2.1+1.8 and 1.5−0.3+0.7M⊙ (all measurements quoted at the 90% credible level). The probability that the secondary’s mass is below the maximal mass of a neutron star is 89%–96% and 87%–98%, respectively, for GW200105 and GW200115, with the ranges arising from different astrophysical assumptions. The source luminosity distances are 280−110+110 and 300−100+150Mpc , respectively. The magnitude of the primary spin of GW200105 is less than 0.23 at the 90% credible level, and its orientation is unconstrained. For GW200115, the primary spin has a negative spin projection onto the orbital angular momentum at 88% probability. We are unable to constrain the spin or tidal deformation of the secondary component for either event. We infer an NSBH merger rate density of 45−33+75Gpc−3yr−1 when assuming that GW200105 and GW200115 are representative of the NSBH population or 130−69+112Gpc−3yr−1 under the assumption of a broader distribution of component masses.

374 citations

Journal ArticleDOI
TL;DR: In this paper, the authors reviewed some recent contributions in terms of definition, phenomenology, and conceptual and empirical modeling approaches to artificial soil sealing with a special focus to urban areas of Europe.

374 citations


Authors

Showing all 30045 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Lewis C. Cantley196748169037
Kenneth C. Anderson1781138126072
Elio Riboli1581136110499
Giacomo Bruno1581687124368
Silvia Franceschi1551340112504
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Marco Costa1461458105096
Pier Paolo Pandolfi14652988334
Andrew Ivanov142181297390
Chiara Mariotti141142698157
Tomas Ganz14148073316
Jean-Pierre Changeux13867276462
Dong-Chul Son138137098686
Network Information
Related Institutions (5)
University of Milan
139.7K papers, 4.6M citations

98% related

Sapienza University of Rome
155.4K papers, 4.3M citations

97% related

University of Padua
114.8K papers, 3.6M citations

97% related

University of Bologna
115.1K papers, 3.4M citations

96% related

Utrecht University
139.3K papers, 6.2M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023202
2022623
20215,733
20205,428
20194,544
20184,233