1,886 research outputs found

    Why Would the Rise of Social Media Increase the Influence of Traditional Media on Collective Judgments?

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    In our original article (Etter, Ravasi & Colleoni, 2018), we argued that the rise of social media is changing how evaluations are made public and impact the formation of organizational reputation. In their counterpoint, [authors] argue in favour of a separation between the construct of media reputation and social media reputation. They further argue that the rise of social media is actually strengthening the impact of traditional media on the evaluations of key stakeholders. Finally, they urge scholars to take a cautious approach to the assumption that social media are introducing more dynamism in the formation of (media) reputation. We agree that, in some circumstances, a conceptual distinction between (traditional) media reputation and social media reputation might be useful to advance future research and theorization of reputational dynamics. In fact, in our original article we highlighted the importance to acknowledge the potential existence of different and separate “reputational arenas” (Aula & Mantere, 2013; see also Bromberg & Fine, 2002). We are less persuaded, however, by the other objections that [authors] raise

    Social Media and the Formation of Organizational Reputation

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    The rise of social media is changing how evaluative judgments about organizations are produced and disseminated in the public domain. In this article, we discuss how these changes question traditional assumptions that research on media reputation rests upon, and we offer an alternative framework that begins to account for how the more active role of audiences, the changing ways in which they express their evaluations, and the increasing heterogeneity and dynamism that characterizes media reputation influence the formation of organizational reputations

    Systemic treatments for women with breast cancer: outcome with relation to screening for the disease

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    Early detection and proper care of breast cancer are currently the best available approaches to the treatment of patients with the disease. In countries with a breast cancer screening programme, there has been a demonstrated reduction in breast cancer-related mortality. Such reduction has also been observed in Switzerland, a country in which no national programme of screening is available. Although there is no doubt that early diagnosis might have had a major role in reducing breast cancer mortality the magnitude of this effect is unknown. Research with tailored approaches on alternative imaging for early detection of breast cancer in high-risk women and on treatments offered according to proper criteria of responsiveness to therapies is warrante

    The Role of Regulatory T Cells and TH17 Cells in Multiple Myeloma

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    The development of multiple myeloma (MM) involves a series of genetic alterations and changes in the bone marrow microenvironment, favoring the growth of the tumor and failure of local immune control. Quantitative and functional alterations in CD4+ and CD8+ T cells have been described in MM. The balance between T regulatory cells (Treg) and T helper (Th) 17 cells represents one essential prerequisite for maintaining anti-tumor immunity in MM. Tregs play an important role in the preservation of self-tolerance and modulation of overall immune responses against infections and tumor cells. In MM patients, Tregs seem to contribute to myeloma-related immune dysfunction and targeting them could, therefore, help to restore and enhance vital immune responses. Th17 cells protect against fungal and parasitic infections and participate in inflammatory reactions and autoimmunity. The interplay of TGF-β and IL-6, expressed at high levels in the bone marrow of myeloma patients, may affect generation of Th17 cells both directly or via other pro-inflammatory cytokines and thereby modulate antitumor immune responses. A detailed analysis of the balance between Tregs and Th17 cells seems necessary in order to design more effective and less toxic modes of immunotherapy myeloma which still is an uncurable malignancy

    Simple solid-phase spectrophotometric method for free iron(III) determination

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    A simple and rapid solid-phase spectrophotometric procedure to determine free Fe(III) in environmental and biological samples is proposed. In particular, a deferoxamine (DFO) self assembled monolayer on mesoporous silica (DFO SAMMS) is developed and here applied as a sensor for iron(III). The solid product became brownish when put in contact with iron(III) solutions; so an immediate application as colorimetric sensor is considered. In order to optimize the DFO SAMMS synthesis and to obtain the best product for iron(III) sensing, a factorial experimental design is performed selecting the maximum absorption at 425 nm as response. The robustness of the spectrophotometric method is also proved

    New twists in compact binary waveform modeling: A fast time-domain model for precession

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    We present IMRPhenomTPHM, a phenomenological model for the gravitational wave signals emitted by the coalescence of quasi-circular precessing binary black holes systems. The model is based on the "twisting up" approximation, which maps non-precessing signals to precessing ones in terms of a time dependent rotation described by three Euler angles, and which has been utilized in several frequency domain waveform models that have become standard tools in gravitational wave data analysis. Our model is however constructed in the time domain, which allows several improvements over the frequency domain models: we do not use the stationary phase approximation, we employ a simple approximation for the precessing Euler angles for the ringdown signal, and we implement a new method for computing the Euler angles through the evolution of the spin dynamics of the system, which is more accurate and also computationally efficient

    Parameter estimation with the current generation of phenomenological waveform models applied to the black hole mergers of GWTC-1

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    We consider the ten confidently detected gravitational-wave signals in theGWTC-1 catalog which are consistent with mergers of binary black hole systems,and perform a thorough parameter estimation re-analysis. This is made possibleby using computationally efficient waveform models of the current (fourth)generation of the IMRPhenom family of phenomenological waveform models, whichconsists of the IMRPhenomX frequency-domain modelsand the IMRPhenomTtime-domain models. The analysis is performed with both precessing andnon-precessing waveform models with and without subdominant spherical harmonicmodes. Results for all events are validated with convergence tests, discussingin particular the events GW170729 and GW151226. For the latter and the othertwo lowest-mass events, we also compare results between two independentsampling codes, Bilby and LALInference. We find overall consistent results withthe original GWTC-1 results, with all Jensen-Shannon divergences between theprevious results using IMRPhenomPv2 and our default IMRPhenomXPHM posteriorsbelow 0.045 bits, but we also discuss cases where including subdominantharmonics and/or precession influences the posteriors.<br
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