scispace - formally typeset
Search or ask a question
Institution

University of Trento

EducationTrento, Italy
About: University of Trento is a education organization based out in Trento, Italy. It is known for research contribution in the topics: Population & Context (language use). The organization has 10527 authors who have published 30978 publications receiving 896614 citations. The organization is also known as: Universitá degli Studi di Trento & Universita degli Studi di Trento.


Papers
More filters
Journal ArticleDOI
TL;DR: The authors argue that social studies of women entrepreneurs tend to reproduce an androcentric entrepreneur mentality that makes hegemonic masculinity invisible, thereby implicitly reproducing male experience as a preferred normative value.
Abstract: Uses the neologism “entrepreneur mentality” – paying implicit homage to Foucault's govermentality – to highlight how an entrepreneurial discourse is mobilized as a system of thinking about women entrepreneurs which is able to make some form of that activity thinkable and practicable, namely: who can be an entrepreneur, what entrepreneurship is, what or who is managed by that form of governance of economic relations? Discourses on women entrepreneurs are linguistic practices that create truth effects. Argues that social studies of women entrepreneurs tend to reproduce an androcentric entrepreneur mentality that makes hegemonic masculinity invisible. They portray women's organizations as “the other”, and sustain social expectations of their difference, thereby implicitly reproducing male experience as a preferred normative value. Taking a deconstructive gaze on how an entrepreneur‐mentality discourse is gendered, reveals the gender sub‐text underpinning the practices of the scientific community that study women entrepreneurs and, in so doing, open a space to question them.

479 citations

Journal ArticleDOI
TL;DR: The combined analysis of heterogeneous CRC cohorts identified reproducible microbiome biomarkers and accurate disease-predictive models that can form the basis for clinical prognostic tests and hypothesis-driven mechanistic studies.
Abstract: Several studies have investigated links between the gut microbiome and colorectal cancer (CRC), but questions remain about the replicability of biomarkers across cohorts and populations. We performed a meta-analysis of five publicly available datasets and two new cohorts and validated the findings on two additional cohorts, considering in total 969 fecal metagenomes. Unlike microbiome shifts associated with gastrointestinal syndromes, the gut microbiome in CRC showed reproducibly higher richness than controls (P < 0.01), partially due to expansions of species typically derived from the oral cavity. Meta-analysis of the microbiome functional potential identified gluconeogenesis and the putrefaction and fermentation pathways as being associated with CRC, whereas the stachyose and starch degradation pathways were associated with controls. Predictive microbiome signatures for CRC trained on multiple datasets showed consistently high accuracy in datasets not considered for model training and independent validation cohorts (average area under the curve, 0.84). Pooled analysis of raw metagenomes showed that the choline trimethylamine-lyase gene was overabundant in CRC (P = 0.001), identifying a relationship between microbiome choline metabolism and CRC. The combined analysis of heterogeneous CRC cohorts thus identified reproducible microbiome biomarkers and accurate disease-predictive models that can form the basis for clinical prognostic tests and hypothesis-driven mechanistic studies. Multicohort analysis identifies microbial signatures of colorectal cancer in fecal microbiomes.

478 citations

Journal ArticleDOI
M. Aguilar, D. Aisa1, Behcet Alpat, A. Alvino  +308 moreInstitutions (42)
TL;DR: The detailed variation with rigidity of the helium flux spectral index is presented for the first time and the spectral index progressively hardens at rigidities larger than 100 GV.
Abstract: Knowledge of the precise rigidity dependence of the helium flux is important in understanding the origin, acceleration, and propagation of cosmic rays. A precise measurement of the helium flux in primary cosmic rays with rigidity (momentum/charge) from 1.9 GV to 3 TV based on 50 million events is presented and compared to the proton flux. The detailed variation with rigidity of the helium flux spectral index is presented for the first time. The spectral index progressively hardens at rigidities larger than 100 GV. The rigidity dependence of the helium flux spectral index is similar to that of the proton spectral index though the magnitudes are different. Remarkably, the spectral index of the proton to helium flux ratio increases with rigidity up to 45 GV and then becomes constant; the flux ratio above 45 GV is well described by a single power law.

470 citations

Journal ArticleDOI
TL;DR: In this article, a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts is described. But despite the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work.
Abstract: This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

469 citations

Book ChapterDOI
16 Mar 2013
TL;DR: The latest version of MathSAT5 supports most of the SMT-LIB theories and their combinations, and provides many functionalities, including sound SAT-style Boolean formula preprocessing for SMT formulae and a framework allowing users for plugging their custom tuned SAT solvers.
Abstract: MathSAT is a long-term project, which has been jointly carried on by FBK-IRST and University of Trento, with the aim of developing and maintaining a state-of-the-art SMT tool for formal verification (and other applications). MathSAT5 is the latest version of the tool. It supports most of the SMT-LIB theories and their combinations, and provides many functionalities (like e.g. unsat cores, interpolation, AllSMT). MathSAT5 improves its predecessor MathSAT4 in many ways, also providing novel features: first, a much improved incrementality support, which is vital in SMT applications; second, a full support for the theories of arrays and floating point; third, sound SAT-style Boolean formula preprocessing for SMT formulae; finally, a framework allowing users for plugging their custom tuned SAT solvers. MathSAT5 is freely available, and it is used in numerous internal projects, as well as by a number of industrial partners.

469 citations


Authors

Showing all 10758 results

NameH-indexPapersCitations
Yi Chen2174342293080
Jie Zhang1784857221720
Richard B. Lipton1762110140776
Jasvinder A. Singh1762382223370
J. N. Butler1722525175561
Andrea Bocci1722402176461
P. Chang1702154151783
Bradley Cox1692150156200
Marc Weber1672716153502
Guenakh Mitselmakher1651951164435
Brian L Winer1621832128850
J. S. Lange1602083145919
Ralph A. DeFronzo160759132993
Darien Wood1602174136596
Robert Stone1601756167901
Network Information
Related Institutions (5)
ETH Zurich
122.4K papers, 5.1M citations

94% related

University of Maryland, College Park
155.9K papers, 7.2M citations

93% related

University of California, Santa Barbara
80.8K papers, 4.6M citations

93% related

Sapienza University of Rome
155.4K papers, 4.3M citations

92% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023158
2022340
20212,402
20202,286
20192,130
20181,943