947 research outputs found
Waste-to-energy application in an industrial district
Industrial districts present some features that can be recognized and exploited in the plant engineering through the proposal of solutions which are not simple applications of models created for individual companies. This work illustrates a waste-to-energy plant to be used for the industrial waste of the district of Friuli Venezia Giulia. The project from the union between university and local entrepreneurs. It is described how the expense for woodworking-waste disposal can turn from a charge into an advantage for the firms of the district thanks to the incineration of this waste in a plant unique for the typology of waste treated. Each plant section is described in detail, underlining innovative approaches and solutions
Selective photoexcitation of exciton-polariton vortices
We resonantly excite exciton-polariton states confined in cylindrical traps.
Using a homodyne detection setup, we are able to image the phase and amplitude
of the confined polariton states. We evidence the excitation of vortex states,
carrying an integer angular orbital momentum m, analogous to the transverse
TEM01* "donut" mode of cylindrically symmetric optical resonators. Tuning the
excitation conditions allows us to select the charge of the vortex. In this
way, the injection of singly charged (m = 1 & m = -1) and doubly charged (m =
2) polariton vortices is shown. This work demonstrates the potential of
in-plane confinement coupled with selective excitation for the topological
tailoring of polariton wavefunctions
Metformin: a modulator of bevacizumab activity in cancer? A case report.
Recurrent type I endometrial cancer ((EC)) has poor prognosis and demands novel therapeutic approaches. Bevacizumab, a VEGF-A neutralizing monoclonal antibody, has shown clinical activity in this setting. To our knowledge, however, although some diabetic cancer patients treated with bevacizumab may also take metformin, whether metformin modulates response to anti-VEGF therapy has not yet been investigated. Here, we report the case of a patient with advanced (EC) treated, among other drugs, with bevacizumab in combination with metformin. The patient affected by relapsed (EC) G3 type 1, presented in march 2010 with liver, lungs and mediastinic metastases. After six cycles of paclitaxel and cisplatin she underwent partial response. Later on, she had disease progression notwithstanding administration of multiple lines of chemotherapy. In march 2013, due to brain metastases with coma, she began steroid therapy with development of secondary diabetes. At this time, administration of Bevacizumab plus Metformin improved her performance status. CT scans performed in this time window showed reduced radiologic density of the lung and mediastinic lesions and of liver disease, suggestive of increased tumor necrosis. Strong F-18-FDG uptake by PET imaging along with high levels of monocarboxylate transporter 4 and lack of liver kinase B1 expression in liver metastasis, highlighted metabolic features previously associated with response to anti-VEGF therapy and phenformin in preclinical models. However, clinical benefit was transitory and was followed by rapid and fatal disease progression. These findingsalbeit limited to a single casesuggest that tumors lacking LKB1 expression and/or endowed with an highly glycolytic phenotype might develop large necrotic areas following combined treatment with metformin plus bevacizumab. As metformin is widely used among diabetes patients as well as in ongoing clinical trials in cancer patients, these results deserve further clinical investigation
Soliton Instabilities and Vortex Streets Formation in a Polariton Quantum Fluid
Exciton-polaritons have been shown to be an optimal system in order to
investigate the properties of bosonic quantum fluids. We report here on the
observation of dark solitons in the wake of engineered circular obstacles and
their decay into streets of quantized vortices. Our experiments provide a
time-resolved access to the polariton phase and density, which allows for a
quantitative study of instabilities of freely evolving polaritons. The decay of
solitons is quantified and identified as an effect of disorder-induced
transverse perturbations in the dissipative polariton gas
Shopping online using the mobile channel: drivers of buying behaviour for Chinese consumers
The emergence of online channels is opening up to new research topics in the retailing literature. Particularly in China, the multifunctional mobile retailing apps, allowing to buy online and socialize the shopping activity with relatives, friends and followers, are supporting the spread of online shopping. A structural equation model combining both traditional antecedents of online shopping - such as ease of use, time convenience, perceived risk - with emerging drivers like perceived price differentiation and shopping socialization is tested to measure the intention to buy using a smartphone by Chinese people. Empirical findings offer new insights for both scholars and practitioners
Countering Protection Rackets Using Legal and Social Approaches: An Agent-Based Test
Protection rackets cause economic and social damage across the world. States typically combat protection rackets using legal strategies that target the racketeers with legislation, strong sentencing, and increasing the presence and involvement of police officers. Nongovernmental organizations, conversely, focus on the rest of the population and counter protection rackets using a social approach. These organisations attempt to change the actions and social norms of community members with education, promotional campaigns, and discussions. We use an agent-based model, which draws on established theories of protection rackets and combines features of sociological and economic perspectives to modelling social interactions, to test the effects of legal and social approaches. We find that a legal approach is a necessary component of a policy approach, that social only approaches should not be used because they lead to large increases in violence, and that a combination of the two works best, although even this must be used carefully
From anarchy to monopoly : how competition and protection shaped mafia's behavior
Mafia-like organizations are highly dynamic and organized criminal groups characterized by their extortive activities that impact societies and economies in different modes and magnitudes. This renders the understanding of how these organizations evolved an objective of both scientific and applicationoriented interests. We propose an agent-based simulation model - the Extortion Racket System model - aimed at understanding the factors and processes explaining the successful settlement of the Sicilian Mafia in Southern Italy, and which may more generally account for the transition from an anarchical situation of uncoordinated extortion to a monopolistic social order. Our results show that in situations of anarchy, these organizations do not last long. This indicates that a monopolistic situation shall be preferred over anarchical ones. Competition is a necessary and sufficient condition for the emergence of a monopolistic situation. However, when competition is combined with protection, the resulting monopolistic regime presents features that make it even more preferable and sustainable for the targets
Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity
Consistent confirmations obtained independently of each other lend
credibility to a scientific result. We refer to results satisfying this
consistency as reproducible and assume that reproducibility is a desirable
property of scientific discovery. Yet seemingly science also progresses despite
irreproducible results, indicating that the relationship between
reproducibility and other desirable properties of scientific discovery is not
well understood. These properties include early discovery of truth, persistence
on truth once it is discovered, and time spent on truth in a long-term
scientific inquiry. We build a mathematical model of scientific discovery that
presents a viable framework to study its desirable properties including
reproducibility. In this framework, we assume that scientists adopt a
model-centric approach to discover the true model generating data in a
stochastic process of scientific discovery. We analyze the properties of this
process using Markov chain theory, Monte Carlo methods, and agent-based
modeling. We show that the scientific process may not converge to truth even if
scientific results are reproducible and that irreproducible results do not
necessarily imply untrue results. The proportion of different research
strategies represented in the scientific population, scientists' choice of
methodology, the complexity of truth, and the strength of signal contribute to
this counter-intuitive finding. Important insights include that innovative
research speeds up the discovery of scientific truth by facilitating the
exploration of model space and epistemic diversity optimizes across desirable
properties of scientific discovery.Comment: EDITS: New title, corrected typos and errors, extended model and
results descriptio
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