Innovation and New Path Creation: The Role of Niche Environments in the Development of the Wind Power Industry in Germany and the UK

This paper seeks to explore the issues of innovation and new path creation in the UK and Germany, illustrated through the case of the modern wind power industry. Taking an evolutionary perspective drawing on path dependence theory, the paper examines the role of niche environments in the creation of new economic pathways. The research finds that new economic pathways are more likely to develop in places where niche conditions provide receptive environments for innovations to flourish. The policy implications of the research include the importance of supporting niche environments that encourage growth in new sectors and the need for financial support to bring innovations to market, to encourage the development of new economic pathways

Networks and innovation: the role of social assets in explaining firms' innovative capacity

The claim of a positive association between a firm’s social assets and its inno-vative capacity is a widely debated topic in the literature. Although controversial, such an argument has informed recent innovation policy across Germany, increasingly di-rected to cluster formation. In the light of the growing attention and financial efforts that cluster-based innovation policies are receiving, it is worth answering two main ques-tions. First, are firms with a relatively high level of social capital likely to be more in-novative? Second, do companies pursuing innovation in partnership innovate more? This paper empirically answers these questions by exploring a cross-sectoral sample of 248 firms based in the Jena region. On the one hand, the extent to which a firm is inte-grated in its community life does not contribute to an explanation of its innovative per-formance. On the other hand, directed cooperation with the specific goal of innovating shows a positive impact on innovative performance. However, the correlation between the extent of the network of co-innovators and firms’ innovative capacity presents an inverted U-shaped relation: there is a threshold in the number of co-innovators justified by the costs of innovating by interacting. A policy lesson can be drawn from these find-ings: cluster-based policies are to be treated with caution as firms face costs of network-ing and not merely benefits

Living Through and Living On? : Participatory Humanitarian Architecture in the Jarahieh Refugee Settlement, Lebanon

Peer reviewe

Un caso di studio del processo di KDD nel settore del retailing.

Si discutono le fasi del processo di KDD attraverso la loro applicazione ad un caso reale nel contesto della vendita al dettaglio: l'obiettivo è valutare la convenienza o meno di una nuova promozione, caratterizzando i clienti redenti in precedenza e costruendo un modello predittivo della loro propensione ad essere redenti

Os juizados especiais e informais da Comarca de Criciúma - SC: a efetividade da desjudicialização como novo paradigma do direito

Monografia apresentada à Diretoria de Pós-graduação da Universidade do Extremo Sul Catarinense - UNESC, para a obtenção do título de especialista em Prática jurídica e Preparação para a Magistratura Estadual.O trabalho analisa as causas da morosidade da Justiça e as consequências para a sociedade, apresentando as atuais alternativas que visam a desjudicialização e permitem o desafogamento das vias jurídicas fazendo com que ações onde supostamente não haja litígio, não ocupem o tempo dos juízes e servidores. A Desjudicialização representa um importante passo para modernizar e simplificar os procedimentos que interferem na celeridade das resoluções com a efetivação dos acordos extrajudiciais, por meios não adversáriais de resolução de conflito

Etiologia de Pneumonias em Suínos ao Abate no Estado do Rio Grande do Sul

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Systemic Lupus Erythematosus with and without Anti-dsDNA Antibodies: Analysis from a Large Monocentric Cohort

Objectives. The anti-dsDNA antibodies are a marker for Systemic Lupus Erythematosus (SLE) and 70–98% of patients test positive. We evaluated the demographic, clinical, laboratory, and therapeutical features of a monocentric SLE cohort according to the antidsDNA status. Methods. We identified three groups: anti-dsDNA + (persistent positivity); anti-dsDNA ± (initial positivity and subsequent negativity during disease course); anti-dsDNA − (persistent negativity). Disease activity was assessed by the European Consensus Lupus Activity Measurement (ECLAM). Results. We evaluated 393 patients (anti-dsDNA +: 62.3%; anti-dsDNA ±: 13.3%; anti-dsDNA −: 24.4%). The renal involvement was signifiantly more frequent in anti-dsDNA + (30.2%), compared with antidsDNA ± and anti-dsDNA − (21.1% and 18.7%, resp.; = 0.001). Serositis resulted signifiantly more frequent in anti-dsDNA − (82.3%) compared to anti-dsDNA + and anti-dsDNA ± (20.8% and 13.4%, resp.; < 0.0001). Th reduction of C4 serum levels was identified significantly more frequently in anti-dsDNA + and anti-dsDNA ± (40.0% and 44.2%, resp.) compared with antidsDNA − (21.8%, = 0.005). We did not identify significant differences in the mean ECLAM values before and after modifiation of anti-dsDNA status ( = 0.7). Conclusion. Anti-dsDNA status influences the clinical and immunological features of SLE patients. Nonetheless, it does not appear to affect disease activity

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation

Source-Free Video Unsupervised Domain Adaptation (SFVUDA) task consists in adapting an action recognition model, trained on a labelled source dataset, to an unlabelled target dataset, without accessing the actual source data. The previous approaches have attempted to address SFVUDA by leveraging self-supervision (e.g., enforcing temporal consistency) derived from the target data itself. In this work, we take an orthogonal approach by exploiting "web-supervision" from Large Language-Vision Models (LLVMs), driven by the rationale that LLVMs contain a rich world prior surprisingly robust to domain-shift. We showcase the unreasonable effectiveness of integrating LLVMs for SFVUDA by devising an intuitive and parameter-efficient method, which we name Domain Adaptation with Large Language-Vision models (DALL-V), that distills the world prior and complementary source model information into a student network tailored for the target. Despite the simplicity, DALL-V achieves significant improvement over state-of-the-art SFVUDA methods.Comment: Accepted at ICCV2023, 14 pages, 7 figures, code is available at https://github.com/giaczara/dall