7,971 research outputs found
Il teatro delle attrazioni
No full textvolume della collana Teatro Contemporaneo d'Autore (diretta da V. Valentini
Nota editoriale a "Acta Albaniae Veneta saeculorum xiv et xv Josephi Valentini S.J. labore reperta et transcripta ac typis mandata edenda curavit Antoninus Guzzetta", 26 volume
No full textedizione del 26 volume della serie Acta Albaniae Veneta del prof. Giuseppe Valentini ricavata dai dattiloscritti inediti e dalle bozze preparatori
M&A and the profile of inventive activity
No full textThis article examines the effect of mergers and acquisitions (M&A) on the profile of merging firms’
inventive activity. The authors conceive of the inventive process as a recombinant search, whose outcome
can be characterized along two complementary dimensions, which define its profile: its depth of impact
on subsequent inventions, and its breadth of impact across different scientific domains. The profile of
firms’ inventive activity depends on two main factors: the resources available to be recombined and the
organizational incentives that guide the recombination process. In turn, these factors significantly depend on
the upstream, technological resources available and on firms’ downstream, product-market related assets.
Importantly, both of these factors may change in the aftermath of M&A, as their specific institutional features
facilitate the exchange and redeployment of upstream and downstream resources. The authors then discuss
how variations in the profile of firms’ inventive activity in the aftermath of an M&A reflect the diversity of
upstream and downstream resources redeployed by the M&A deal. They test their hypotheses with a panel
of firms from the US medical devices and photographic equipment industry. The study finds that diversity
in merging firms’ downstream resources exerts a positive impact on post-acquisition profile of inventive
activities, whereas diversity in knowledge bases does not seem to exert a significant direct effect on the two
qualitative dimensions of inventive activity considered. Yet, technological diversity displays a positive effect
in deals characterized by high market relatedness
Optimal aging-aware channel access control for wireless networks with energy harvesting
No full textEnergy harvesting is arising as a key technology in wireless systems, allowing continuous and prolonged operations. However, the bursty nature of the energy arrival process associated with renewable sources and the energy usage pattern caused by wireless protocols may cause considerable stress to the battery and eventually reduce its lifetime. In fact, deep charging and discharging cycles degrade the battery State of Health, that is, the maximum amount of energy that can be stored. In this paper, a framework for the optimization of wireless nodes' transmission strategy is presented, where battery aging rate is included as a constraint. The proposed framework is based on Markov Decision Process theory, where the embedded stochastic process models energy arrival and storage, and channel fading, as well as the control variables. Numerical results unveil the tension between packet delivery rate and battery degradation
Comparison of early and late omics data integration for cancer modules gene ranking
No full textIn a recent work we evaluated the ability of semi-supervised learning methods based on random walks to rank genes with respect to Cancer Modules (CM) using networks constructed from different sources of information (Re and Valentini, 2012). The performance of this approach was evaluated using a relatively simple data integration scheme consisting in the unweighted sum of the adjacency matrices of the biomolecular networks involved in our experiments.
Despite the achievement of good performances, our tests were all based on a network integration approach applied before the gene prioritization phase (early data integration). Recently published works demonstrated that good results can also be obtained by performing the integration step after the production of a prioritization ranking for each available dataset (late data integration), through the integration the ranking vectors (Kolde et al., 2012).
The aim of this contribution is to compare prioritization performances on CM genes using early and late data integration methods in order to highlight benefits and potential pitfalls characterizing these approaches when applied in large scale
gene prioritization problems
The impact of M&A on rivals' innovation strategy
No full textWe investigate the effect of M&A on the innovation strategy of merging firms’ competitors. We argue that while merging firms may reduce their commitment to innovation in the period following the deal because of an increased focus on short-term M&A implementation and financial considerations, rival firms can on the contrary exploit this moment of inertia to broaden their research and outperform rivals, producing more impactful innovations. We suggest merging firms’ competitors increase the breadth of their technological search, even though this may be risky: If their attempts do not achieve the desired results, the consequences are relatively less harmful, as also their competitors are slowing down their innovation pace in the aftermath of M&A. Using data from European firms in the pharmaceutical industry, we find evidence consistent with these hypotheses
Modeling And Control Battery Aging in Energy Harvesting Systems
No full textEnergy storage is a fundamental component for the development of sustainable and environment-aware technologies. One of the critical challenges that needs to be overcome is preserving the State of Health (SoH) in energy harvesting systems, where bursty arrival of energy and load may severely degrade the battery. Tools from Markov process and Dynamic Programming theory are becoming an increasingly popular choice to control dynamics of these systems due to their ability to seamlessly incorporate heterogeneous components and support a wide range of applications. Mapping aging rate measures to fit within the boundaries of these tools is non-trivial. In this paper, a framework for modeling and controlling the aging rate of batteries based on Markov process theory is presented. Numerical results illustrate the tradeoff between battery degradation and task completion delay enabled by the proposed framework
Design Combination Potential and Get It Done: An Analysis of the Drivers of Technological Performance in M&As
No full textThe paper explores the impact of mergers and acquisitions (M&As) on technological performance. We posit
that the post-acquisition technological performance is positively related to the technological combination potential of the
merging firms and to their ability to realize this potential. In turn, the combination potential depends on M&As motives
aimed at complementing firms’ technological resources, whereas firms’ ability to realize their potential is significantly
influenced by their prior experience in M&As and technology integration
Valentini, Il principe fanciullo. Trattato inedito dedicato a Renata ed Ercole II d’Este,
No full textvicende di Filippo Valentini, Moden
Measuring the effect of M&A on patenting quantity and quality
No full textI explore the effect of M&A on the patenting quantity and quality of the firms involved in a deal. Three measures of quality are considered: impact, generality, and originality. The impact of a patent denotes its influence on future inventions. Generality refers to a patent’s applicability across technological fields. Finally, the originality of a patent indicates the extent to which an invention synthesizes diverse technological inputs. Applying a matching estimator to data from the U.S. “Medical devices and photographic equipment” industry from 1988 to 1996, I find that M&A have a positive effect on patenting output, but decrease patent impact, originality and generality
- …
