299 research outputs found

    Designing for events - a new perspective on event design

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    Purpose. This paper contributes to the paradigm shift towards event design predominant research by presenting an analysis of how the concept of event design has developed in the events literature and by exploring a new perspective based on its contribution to value co-creation. Design/methodology/approach. Theory from design management and service design is discussed to provide insights on the role of event design as contributing to the creation of value in social systems. Findings. A new framework for categorising the role of event design is proposed, called the Event Design Ladder. Event design is no longer considered as a problem solving activity, but as a contributor to value creation and an ongoing pursuit carried out over time and space. Stakeholders become co-designers of value systems. Research limitations/implications Service design and design management literature offer interesting potential for event researchers to advance the conceptualisation of event design. Considering events as platforms for long-term stakeholder engagement implies that the concept of design becomes strategic. Design as strategy is identified as a new area of event research. Originality/value This paper proposes a new perspective on events considered as catalysts of value systems, where the role of design is not only to orchestrate meaningful experiences but to facilitate collaboration across projects, integrating resources and building on stakeholders’ skills and knowledge. Theories of practice are explored as a way to theorise and carry out research on how value is co-created by actors

    Co-creative Events: Analysis and Illustrations

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    Insights into the light response of skeletonema marinoi: Involvement of ovothiol

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    Diatoms are one of the most widespread groups of microalgae on Earth. They possess extraordinary metabolic capabilities, including a great ability to adapt to different light conditions. Recently, we have discovered that the diatom Skeletonema marinoi produces the natural antioxidant ovothiol B, until then identified only in clams. In this study, we investigated the light-dependent modulation of ovothiol biosynthesis in S. marinoi. Diatoms were exposed to different light conditions, ranging from prolonged darkness to low or high light, also differing in the velocity of intensity increase (sinusoidal versus square-wave distribution). The expression of the gene encoding the key ovothiol biosynthetic enzyme, ovoA, was upregulated by high sinusoidal light mimicking natural conditions. Under this situation higher levels of reactive oxygen species and nitric oxide as well as ovothiol and glutathione increase were detected. No ovoA modulation was observed under prolonged darkness nor low sinusoidal light. Unnatural conditions such as continuous square-wave light induced a very high oxidative stress leading to a drop in cell growth, without enhancing ovoA gene expression. Only one of the inducible forms of nitric oxide synthase, nos2, was upregulated by light with consequent production of NO under sinusoidal light and darkness conditions. Our data suggest that ovothiol biosynthesis is triggered by a combined light stress caused by natural distribution and increased photon flux density, with no influence from the daily light dose. These results open new perspectives for the biotechnological production of ovothiols, which are receiving a great interest for their biological activities in human model systems

    Emotional rational education training associated with mindfulness for managing anxiety within adolescents affected by high-functioning autism: A descriptive study

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    Background: Autism spectrum disorder (ASD) is a chronic and persistent pervasive developmental disorder (PDD) whose characteristic deficit is represented by social difficulties, semantic–pragmatic alterations and a limited, unusual and repetitive pattern of interests and be-haviors. Specifically, individuals with high-functioning autism (HFA) frequently exhibit associated internalizing symptoms that are not part of the diagnostic criteria but which, nonetheless, tend to impair daily functioning. In this study, we investigated how some forms of treatment could be useful in subjects with HFA who display internalizing symptoms. Theoretical background relates to standard cognitive therapy (SCT) and rational education training with mindfulness (M-ERE). Methods: In this study, we investigated how some forms of treatment could be useful in subjects with HFA and internalizing symptoms, focusing on standard cognitive therapy (SCT) and mindfulness associated with emotional rational education training (M-ERE). We selected two groups of HFA patients with significant internalizing symptoms and performed two different forms of treatment for six months: SCT and M-ERE. The aim of the study was to verify the effectiveness of an M-ERE protocol with respect to anxious and depressive symptoms in subjects with HFA. Furthermore, we wanted to compare the results obtained with this combined treatment with those obtained in HFA subjects treated with SCT. Results: Our analyses showed an improvement in the internalizing symptoms (especially those related to the anxiety dimension) of the group that followed a treatment based on mindfulness and rational emotional education for 6 months compared to the group that had instead performed a 6-month treatment based on the SCT. Conclusions: Our hypotheses were supported by the results, which highlighted the efficacy of mindfulness-based interventions in the treatment of internalizing symptoms in adolescents with HFA, and specifically showed that an M-ERE intervention appears more effective in managing anxiety compared to treatment with SCT and appears to be equally effective in the management of depressive symptoms. Not only was the M-ERE treatment effective for the management of anxious and depressive symptoms in subjects with HFA, but the efficacy for the management of anxious symptoms was greater than the SCT treatment

    Treatment with gonadotropin releasing hormone agonists in systemic lupus erythematosus patients receiving cyclophosphamide: a long-term follow-up study

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    Background: Cyclophosphamide treatment has been associated with ovarian function impairment. Co-treatment with gonadotropin-releasing hormone-analogue (GnRH-a) seems to be able to prevent this complication. However, even though data are available on neoplastic patients, limited data have been published on systemic lupus erythematosus (SLE) women cohorts. Objectives: To evaluate GnRH-a efficacy on ovarian function preservation in SLE women receiving cyclophosphamide treatment. Methods: The authors performed a retrospective study including SLE women requiring cyclophosphamide treatment and compared those treated with and without GnRH-a (case and controls, respectively). All patients were evaluated before cyclophosphamide treatment and every 3 months in the following years. Ovarian function was evaluated using hormonal profiles. Results: The study comprised 33 SLE cyclophosphamide-treated women: 18 co-treated with triptorelin, and 15 controls. The mean follow-up was 8.1 ± 5.1 years (range 4–11). Premature ovarian failure (POF) prevalence was significantly lower in SLE women treated by cyclophosphamide plus triptorelin compared to controls (11.1% vs. 33.3%, P = 0.0002). The occurrence of POF was significantly associated with higher age at the time of cyclophosphamide treatment (P = 0.008). Only patients in the GnRH-a treated group had successful pregnancies. Conclusions: The study provides information about the efficacy of co-treatment with GnRH-a in SLE women receiving cyclophosphamide, as demonstrated by the lower POF incidence compared to untreated subjects, based on long-term follow-up. These results reinforce the use of GnRH-a for fertility preservation in premenopausal SLE patients treated by cyclophosphamide

    A Web-based spatial decision supporting system for land management and soil conservation

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    Abstract. Today it is evident that there are many contrasting demands on our landscape (e.g. food security, more sustainable agriculture, higher income in rural areas, etc.) as well as many land degradation problems. It has been proved that providing operational answers to these demands and problems is extremely difficult. Here we aim to demonstrate that a spatial decision support system based on geospatial cyberinfrastructure (GCI) can address all of the above, so producing a smart system for supporting decision making for agriculture, forestry, and urban planning with respect to the landscape. In this paper, we discuss methods and results of a special kind of GCI architecture, one that is highly focused on land management and soil conservation. The system allows us to obtain dynamic, multidisciplinary, multiscale, and multifunctional answers to agriculture, forestry, and urban planning issues through the Web. The system has been applied to and tested in an area of about 20 000 ha in the south of Italy, within the framework of a European LIFE+ project (SOILCONSWEB). The paper reports – as a case study – results from two different applications dealing with agriculture (olive growth tool) and environmental protection (soil capability to protect groundwater). Developed with the help of end users, the system is starting to be adopted by local communities. The system indirectly explores a change of paradigm for soil and landscape scientists. Indeed, the potential benefit is shown of overcoming current disciplinary fragmentation over landscape issues by offering – through a smart Web-based system – truly integrated geospatial knowledge that may be directly and freely used by any end user (www.landconsultingweb.eu). This may help bridge the last very important divide between scientists working on the landscape and end users

    Design, structural and functional characterization of a Temporin-1b analog active against Gram-negative bacteria

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    Background Temporins are small antimicrobial peptides secreted by the Rana temporaria showing mainly activity against Gram-positive bacteria. However, different members of the temporin family, such as Temporin B, act in synergy also against Gram-negative bacteria. With the aim to develop a peptide with a wide spectrum of antimicrobial activity we designed and analyzed a series of Temporin B analogs. Methods Peptides were initially obtained by Ala scanning on Temporin B sequence; antimicrobial activity tests allowed to identify the TB-G6A sequence, which was further optimized by increasing the peptide positive charge (TB-KKG6A). Interactions of this active peptide with the LPS of E. coli were investigated by CD, fluorescence and NMR. Results TB-KKG6A is active against Gram-positive and Gram-negative bacteria at low concentrations. The peptide strongly interacts with the LPS of Gram-negative bacteria and folds upon interaction into a kinked helix. Conclusion Our results show that it is possible to widen the activity spectrum of an antimicrobial peptide by subtle changes of the primary structure. TB-KKG6A, having a simple composition, a broad spectrum of antimicrobial activity and a very low hemolytic activity, is a promising candidate for the design of novel antimicrobial peptides. General significance The activity of antimicrobial peptides is strongly related to the ability of the peptide to interact and break the bacterial membrane. Our studies on TB-KKG6A indicate that efficient interactions with LPS can be achieved when the peptide is not perfectly amphipathic, since this feature seems to help the toroidal pore formation process

    Brain atrophy and lesion load in a large population of patients with multiple sclerosis

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    OBJECTIVE: To measure white matter (WM) and gray matter (GM) atrophy and lesion load in a large population of patients with multiple sclerosis (MS) using a fully automated, operator-independent, multiparametric segmentation method. METHODS: The study population consisted of 597 patients with MS and 104 control subjects. The MRI parameters were abnormal WM fraction (AWM-f), global WM-f (gWM-f), and GM fraction (GM-f). RESULTS: Significant differences between patients with MS and control subjects included higher AWM-f and reduced gWM-f and GM-f. MRI data showed significant differences between patients with relapsing-remitting and secondary progressive forms of MS. Significant correlations between MRI parameters and between MRI and clinical data were found. CONCLUSIONS: Patients with multiple sclerosis have significant atrophy of both white matter (WM) and gray matter (GM); secondary progressive patients have significantly more atrophy of both WM and GM than do relapsing-remitting patients and a significantly higher lesion load (abnormal WM fraction); lesion load is related to both WM and even more to GM atrophy; lesion load and WM and GM atrophy are significantly related to Expanded Disability Status Scale score and age at onset (suggesting that the younger the age at disease onset, the worse the lesion load and brain atrophy); and GM atrophy is the most significant MRI variable in determining the final disabilit

    Crowd guilds: Worker-led reputation and feedback on crowdsourcing platforms

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    Crowd workers are distributed and decentralized. While decentralization is designed to utilize independent judgment to promote high-quality results, it paradoxically undercuts behaviors and institutions that are critical to high-quality work. Reputation is one central example: crowdsourcing systems depend on reputation scores from decentralized workers and requesters, but these scores are notoriously inflated and uninformative. In this paper, we draw inspiration from historical worker guilds (e.g., in the silk trade) to design and implement crowd guilds: centralized groups of crowd workers who collectively certify each other’s quality through double-blind peer assessment. A two-week field experiment compared crowd guilds to a traditional decentralized crowd work model. Crowd guilds produced reputation signals more strongly correlated with ground-truth worker quality than signals available on current crowd working platforms, and more accurate than in the traditional model
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