6,932 research outputs found

    Sustainable Recycling of Insoluble Rust Waste for the Synthesis of Iron-Containing Perovskite-Type Catalysts

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    Insoluble rust waste from the scraping of rusted iron-containing materials represents a cheap, eco-friendly, and available source of iron. LaFeO3 perovskite-type powders were successfully prepared by solution combustion synthesis using rust waste from an electricity transmission tower manufacturer. Solution combustion synthesis enabled introduction of this insoluble iron precursor directly into the final product, bypassing complex extraction procedures. Catalytic activity in the propylene oxidation of the waste-derived LaFeO3 with stoichiometric Fe/La ratio was almost identical to the commercial iron nitrate-derived LaFeO3 , thus demonstrating the viability of this recycling solution. The amount of waste iron precursor was varied and its effect on the powder properties was investigated. A lesser stoichiometric amount of precursor produced a LaFeO3 -La2O3 binary system, whereas a higher stoichiometric amount led to a LaFeO3 -Fe2O3 binary system. Catalytic activity of iron-rich compositions in the propylene oxidation was only slightly lower than the stoichiometric one, whereas iron-poor compositions were much less active. This eco-friendly methodology can be easily extended to other iron perovskites with different chemical compositions and to other iron-containing compounds

    Deep Learning for Short-Term Prediction of Available Bikes on Bike-Sharing Stations

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    Bike-sharing is adopted as a valid option replacing traditional public transports since they are eco-friendly, prevent traffic congestions, reduce any possible risk of social contacts which happen mostly on public means. However, some problems may occur such as the irregular distribution of bikes on related stations/racks/areas, and the difficulty of knowing in advance what the rack status will be like, or predicting if there will be bikes available in a specific bike-station at a certain time of the day, or if there will be a free slot to leave the rented bike. Thus, providing predictions can be useful to improve the service quality, especially in those cases where bike racks are used for e-bikes, which need to be recharged. This paper compares the state-of-the-art techniques to predict the number of available bikes and free bike-slots in bike-sharing stations (i.e., bike racks). To this end, a set of features and predictive models were compared to identify the best models and predictors for short-term predictions, namely of 15, 30, 45, and 60 minutes. The study has demonstrated that deep learning and in particular Bidirectional Long Short-Term Memory networks (Bi-LSTM) offers a robust approach for the implementation of reliable and fast predictions of available bikes, even with a limited amount of historical data. This paper has also reported an analysis of feature relevance based on SHAP that demonstrated the validity of the model for different cluster behaviours. Both solution and its validation were derived by using data collected in bike-stations in the cities of Siena and Pisa (Italy), in the context of Sii-Mobility National Research Project on Mobility and Transport and Snap4City Smart City IoT infrastructure

    Synchrotron oscillation damping due to beam-beam collisions

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    In DA{\Phi}NE, the Frascati e+/e- collider, the crab waist collision scheme has been successfully implemented in 2008 and 2009. During the collision operations for Siddharta experiment, an unusual synchrotron damping effect has been observed. Indeed, with the longitudinal feedback switched off, the positron beam becomes unstable with beam currents in the order of 200-300 mA. The longitudinal instability is damped by bringing the positron beam in collision with a high current electron beam (~2A). Besides, we have observed a shift of \approx 600Hz in the residual synchrotron sidebands. Precise measurements have been performed by using both a commercial spectrum analyzer and the diagnostics capabilities of the DA{\Phi}NE longitudinal bunch-by-bunch feedback. This damping effect has been observed in DA{\Phi}NE for the first time during collisions with the crab waist scheme. Our explanation is that beam collisions with a large crossing angle produce a longitudinal tune shift and a longitudinal tune spread, providing Landau damping of synchrotron oscillations.Comment: 3 pages, 5 figures, talk presented to IPAC'10 - Kyoto - May 24-28 201

    Positive and Negative Regulation of Cellular Immune Responses in Physiologic Conditions and Diseases

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    The immune system has evolved to allow robust responses against pathogens while avoiding autoimmunity. This is notably enabled by stimulatory and inhibitory signals which contribute to the regulation of immune responses. In the presence of a pathogen, a specific and effective immune response must be induced and this leads to antigen-specific T-cell proliferation, cytokines production, and induction of T-cell differentiation toward an effector phenotype. After clearance or control of the pathogen, the effector immune response must be terminated in order to avoid tissue damage and chronic inflammation and this process involves coinhibitory molecules. When the immune system fails to eliminate or control the pathogen, continuous stimulation of T cells prevents the full contraction and leads to the functional exhaustion of effector T cells. Several evidences both in vitro and in vivo suggest that this anergic state can be reverted by blocking the interactions between coinhibitory molecules and their ligands. The potential to revert exhausted or inactivated T-cell responses following selective blocking of their function made these markers interesting targets for therapeutic interventions in patients with persistent viral infections or cancer

    Multifocal lymphadenopathies with polyclonal reactions primed after EBV infection in a mRNA-1273 vaccine recipient.

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    We report a case of recurrent tender, multifocal lymphadenopathies associated with B-symptoms, clinically mimicking lymphoma in a mRNA-1273 vaccine recipient after a recent Epstein-Barr virus (EBV) infection. In the lymph node biopsy, monocytoid B-cell hyperplasia, TH2 (GATA3+) predominance, and hyperplasia of interferon-gamma-producing plasmacytoid dendritic cells were observed along with sustained neutralising antibody production against SARS-CoV-2 wild-type and five variants. High titres of anti-S antibodies and neutralising antibodies were observed, excepted for variant B.1.529** (omicron) and B.1.351** (beta), due to several mutations in the spike protein, including the E484K mutation. We postulated that EBV acted as an immunological enhancer with the mRNA-1273 vaccine, inducing a sustained inflammatory response over several weeks. However, the polyclonal nature of the lymphadenopathy with polytypic plasmacytosis and pseudo-tumoural reaction cell hyperplasia were associated with failure to mount acute phase responses

    Molecular determination of epidermal growth factor receptor in normal and neoplastic colorectal mucosa

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    The epidermal growth factor receptor (EGFr) is considered a major target for treatment of colorectal cancer (CRC). We found a mean EGFr content significantly lower but more activated in colonic neoplastic tissue than in paired normal mucosa. Phosphorylated (pY1068) EGFr detection in CRC may be a better tool than EGFr detection to select patients for targeted therapies

    A Method for Simultaneous Optimisation of Orbit and Dispersion in Storage Rings

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    An algorithm for the simultaneous optimisation of orbit and dispersion in a storage ring is presented. Based on orbit and dispersion measurements the algorithm determines the optimal corrector settings in order to simultaneously minimize the r.m.s orbit, the r.m.s dispersion and the r.m.s strenght of the dipoles correctors. A number of different options for error handling of beam position monitors, weighting, and correction have been introduced to ensure the stability of the algorithm in the environment of a large accelerator. Experimental results are presented for the LEP collider demonstrating the efficiency of the method. The use of this correction algorithm for LEP in 1999 allowed achieving about a factor of two smaller vertical emittances than in previous years

    Critical success factors for managing post-disaster reconstruction projects: the case of Angola

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    Although some studies have been carried out on project management of “typical” construction projects, little work has been done on what makes Post-Disaster Reconstruction Projects (PDRPs) successful. This paper analyses the Critical Success Factors (CSFs) for implementation of PDRPs in Angola. The paper adopted a survey and interviews. Data was collected from project participants within the ministry of planning, provincial government office of planning and local government in Angola. A questionnaire with closed questions was completed by 130 survey respondents. Semi-structured interviews were conducted with 7 practitioners selected through purposive sampling. The findings indicate that adequate funding, effective planning, competent project managers, good communication, the active involvement of stakeholders, good written contract, political stability, less bureaucracy in the reconstruction process, economic stability and sufficient resources are the CSFs. The findings further revealed that, there are no differences in the responses between the groups especially between managers and consultants and between contractors and consultants. The findings strongly suggest that CSFs are key resources and skills that determine the successful implementation of a project in terms of its direction and benefits and proposes that stakeholders and project managers should consider these factors for best practices when managing PDRPs. Since PDR is context specific, countries with the same economic status, environment and post-disaster event may benefit from the results. Hence, the study offers new insights to gain an understanding of the CSFs that contribute to best PDR practices

    Direct cross section measurement for the 18O(p,γ)19F reaction at astrophysical energies at LUNA

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    18 O ( p, γ ) 19 F plays an important role in the AGB star scenarios. The low energy cross section could be influenced by a hypothetical low energy resonance at 95 keV and by the tails of the higher energy broad states. The 95 keV resonance lies in the energy window corresponding to the relevant stellar temperature range of 40-50 MK.Measurements of the direct cross section were performed at the Laboratory for Underground Nuclear Astrophysics (LUNA), including the unobserved low energy resonance, the higher energy resonances and the non-resonant component, taking advantage of the extremely low environmental background. Here we report on the experimental setup and the status of the analysis
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