5,795 research outputs found
Correction to: Outpatient erbium:YAG (2940 nm) laser treatment for snoring: a prospective study on 40 patients (Lasers in Medical Science, (2018), 33, 2, (399-406), 10.1007/s10103-018-2436-6)
No full textIn the originally published article, the name of the first author was incorrectly labeled. Given name is Isabelle and family name is Fini Storchi
Generation problems for finite groups
No full textIt can be deduced from the Burnside Basis Theorem that if G is a finite p-group with d(G)=r then given any generating set A for G there exists a subset of A of size r that generates G. We have denoted this property B. A group is said to have the basis property if all subgroups have property B. This thesis is a study into the nature of these two properties. Note all groups are finite unless stated otherwise.
We begin this thesis by providing examples of groups with and without property B and several results on the structure of groups with property B, showing that under certain conditions property B is inherited by quotients. This culminates with a result which shows that groups with property B that can be expressed as direct products are exactly those arising from the Burnside Basis Theorem.
We also seek to create a class of groups which have property B. We provide a method for constructing groups with property B and trivial Frattini subgroup using finite fields. We then classify all groups G where the quotient of G by the Frattini subgroup is isomorphic to this construction. We finally note that groups arising from this construction do not in general have the basis property.
Finally we look at groups with the basis property. We prove that groups with the basis property are soluble and consist only of elements of prime-power order. We then exploit the classification of all such groups by Higman to provide a complete classification of groups with the basis property
A Model for the Simulation of the Response of Pixel Detectors
No full textWe present a model to simulate the response of the pixel detector to be
used in the inner tracking system of the ALICE experiment. The model
describes the effects of geometrical charge sharing, electronic noise and
coupling between pixel channels, which cannot be accounted for by usual
tracking packages. It also takes into account the contribution due to δ-
rays. We tested our model with the Omega3 pixel detector, which is the
direct predecessor of the ALICE pixel detector. We show that the model
is able to reproduce the experimental data and the resulting parameters
are consistent with the measurements made on the Omega3 chip
TRACK project (TRansferring ACademic Knowledge) - Marie Curie Action - Intra-European Fellowship
No full textOver the past thirty years, Knowledge Transfer Activities (KTA) have come to be considered as a natural stage in the evolution of the modern university, in addition to the more traditional mandates of education and research. KTA by academics are accomplished in different forms. Some of them, more discovery-driven, are characterized by the enforcement of intellectual property right, such as patenting, licensing and creation of new business based on patent. Some others, such as consulting and collaboration with industry, are more construction driven and are undertaken outside the Intellectual Property system (IP-system). The vast majority of studies on KTA examine entrepreneurial activities generated as a result of a formal disclosure process that occurs within the IP-system. Thus, very little is still known on the breadth and depth of KTA, on the impact that these activities have on academics' research productivity, as well as on the effectiveness of university support mechanisms in fostering them. In order to fill part of this void, aim of TRACK is to: a) gather new primary and secondary data on KTA undertaken by a representative sample of the academics in the U.K.; b) complement this information with empirical evidences on their research productivity and highlight the trade-offs (if any) between KTA and research; c) identify the support mechanisms put in place by universities as well as the TTOs’ business models, spotting the best practices in the support of KTA. Adopting a multilevel approach and relying on advanced econometric technique, TRACK will characterize the depth and breadth of KTA undertaken by academics in U.K, assessing the impact that KTA have on individuals’ research productivity and exploring the impact that different institutional characteristics have on KTA undertaken by academics. Results will have implications for efforts to develop and test theories of academic entrepreneurship, as well as efforts to develop science-policies
Measurement of multiplicity and dN/dη using the ALICE Silicon Pixel Detector
No full textA full simulation of the measurement of the charged particle multiplicity at mid-rapidity and the pseudorapidity distribution using the two layers of silicon pixel i presented. The proposed methods are tested in several running conditions; a study of statistical and systematic errors is included
Project TASTE - TAking STock: External engagement by academics
No full textIn the last three decades, a rich body of research has focused on knowledge-commercialisation activities by academic researchers. In addition to the traditional mandates of teaching and research, knowledge transfer has become a third mission in which academic institutions engage. Because academic knowledge may be hard to transfer, it becomes desirable to directly involve academic organisations and scientists in commercial activities. As a result, policymakers in both the US and Europe have implemented legislation to stimulate the involvement of universities in the commercialisation of research. Understanding how the process of commercialisation of academic research operates and assessing its impact are therefore relevant exercises for management studies, public policy and social welfare.
While much of the existing work on academics’ engagement in knowledge-transfer activities has focused on assessing empirical relationships and phenomena, very few contributions address how research on universities may yield more general theoretical contributions to the management literature. To fill part of this void, the aim of TASTE is to contribute to entrepreneurship theory, illuminating:
1) The social-cognitive determinants of academics’ enterprising behaviours;
2) The impact of knowledge-commercialisation activities on academics’ cognitions and behaviours;
3) How and to what extent the engagement in knowledge-commercialisation activities is changing academic institutions and their constituting logics.
TASTE is structured on three different level of analysis:
1) The first level focuses on individuals. Relying on a representative sample of Italian academics, it analyses academics’ cognitive characteristics and human capital, as well as the depth and breadth of knowledge-commercialisation activities in which academics engage in;
2) The second level focuses on organizations. This is meant to characterize the population of Italian academics spin-offs (i.e., firms established to commercialize knowledge developed inside public research institutions), indentifying their founding and management teams, as well as assessing their developed technologies and market performances;
3) The third level focuses on academic institutions. It characterizes the Italian public research institutions, analyzing their constituting logics as well as the whole set of mechanisms (e.g., internal policies, technology transfer offices and university incubators) put in place to support knowledge-commercialisation activities by academics.
The collected primary and secondary information will be structured in the TASTE database. The study will be located in Italy, and it will be hosted by the Department of Management of the University of Bologna
Simulation of the response of the ALICE silicon pixel detectors
No full textA model for the description of the response of the pixel detectors has
been applied to the two innermost layers of the ALICE ITS and has been
introduced in the AliRoot standard package. The results of the simula-
tion, including the average cluster sizes and the expected resolutions are
discussed
Career paths, organizational affiliation and the enactment of entrepreneurial intentions
No full textHow entrepreneurs’ career-paths relate to the enactment of entrepreneurial intentions? Does entrepreneurs’ organizational affiliation influence their entrepreneurial intentions? In an attempt to provide answers to such questions, we draw on intentional theory in order to explain heterogeneity in entrepreneurs’ intentional processes. We study the impact that entrepreneurs’ affiliation to public research institutions has on the enactment of their entrepreneurial intentions, comparing the intentional processes of a matched-pairs sample of 52 public entrepreneurs and 52 private entrepreneurs. After employing multivariate regression analyses and structural equation modelling techniques, the empirical results are confirmed, showing that entrepreneurial intentions are differently determined within the two samples. These findings provide us new theoretical and empirical evidences on the impact that individual features, developed as a result of different career paths and organizational affiliations, have on the enactment of entrepreneurial intentions
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