16,621 research outputs found

    A HYBRID APPROACH FOR TRANSLATIONAL RESEARCH

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    Indiana University-Purdue University Indianapolis (IUPUI)Translational research has proven to be a powerful process that bridges the gap between basic science and medical practice. The complexity of translational research is two-fold: integration of vast amount of information in disparate silos, and dissemination of discoveries to stakeholders with different interests. We designed and implemented a hybrid knowledge discovery framework. We developed strategies to leverage both traditional biomedical databases and Health Social Network Communities content in the discovery process. Heuristic and quantitative evaluations were carried out in Colorectal Cancer and Amyotrophic Lateral Sclerosis disease areas. The results demonstrate the potential of our approach to bridge silos and to identify hidden links among clinical observations, drugs, genes and diseases, which may eventually lead to the discovery of novel disease targets, biomarkers and therapies

    Eine Annäherung an den Avantgardismus? Amateur-animation und das Ringen mit der Technik

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    The chapter examines the status of animation within the emerging British amateur cine movement of the interwar decades, and introduces a case study of the work of the British animator, Alan Cleave

    Which Factors are associated with Open Access Publishing? A Springer Nature Case Study

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    Open Access (OA) facilitates access to articles. But, authors or funders often must pay the publishing costs preventing authors who do not receive financial support from participating in OA publishing and citation advantage for OA articles. OA may exacerbate existing inequalities in the publication system rather than overcome them. To investigate this, we studied 522,411 articles published by Springer Nature. Employing correlation and regression analyses, we describe the relationship between authors affiliated with countries from different income levels, their choice of publishing model, and the citation impact of their papers. A machine learning classification method helped us to explore the importance of different features in predicting the publishing model. The results show that authors eligible for APC waivers publish more in gold-OA journals than others. In contrast, authors eligible for an APC discount have the lowest ratio of OA publications, leading to the assumption that this discount insufficiently motivates authors to publish in gold-OA journals. We found a strong correlation between the journal rank and the publishing model in gold-OA journals, whereas the OA option is mostly avoided in hybrid journals. Also, results show that the countries' income level, seniority, and experience with OA publications are the most predictive factors for OA publishing in hybrid journals

    Pervasively Distributed Copyright Enforcement

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    In an effort to control flows of unauthorized information, the major copyright industries are pursuing a range of strategies designed to distribute copyright enforcement functions across a wide range of actors and to embed these functions within communications networks, protocols, and devices. Some of these strategies have received considerable academic and public scrutiny, but much less attention has been paid to the ways in which all of them overlap and intersect with one another. This article offers a framework for theorizing this process. The distributed extension of intellectual property enforcement into private spaces and throughout communications networks can be understood as a new, hybrid species of disciplinary regime that locates the justification for its pervasive reach in a permanent state of crisis. This hybrid regime derives its force neither primarily from centralized authority nor primarily from decentralized, internalized norms, but instead from a set of coordinated processes for authorizing flows of information. Although the success of this project is not yet assured, its odds of success are by no means remote as skeptics have suggested. Power to implement crisis management in the decentralized marketplace for digital content arises from a confluence of private and public interests and is amplified by the dynamics of technical standards processes. The emergent regime of pervasively distributed copyright enforcement has profound implications for the production of the networked information society

    Complex Network Analysis for Scientific Collaboration Prediction and Biological Hypothesis Generation

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    With the rapid development of digitalized literature, more and more knowledge has been discovered by computational approaches. This thesis addresses the problem of link prediction in co-authorship networks and protein--protein interaction networks derived from the literature. These networks (and most other types of networks) are growing over time and we assume that a machine can learn from past link creations by examining the network status at the time of their creation. Our goal is to create a computationally efficient approach to recommend new links for a node in a network (e.g., new collaborations in co-authorship networks and new interactions in protein--protein interaction networks). We consider edges in a network that satisfies certain criteria as training instances for the machine learning algorithms. We analyze the neighborhood structure of each node and derive the topological features. Furthermore, each node has rich semantic information when linked to the literature and can be used to derive semantic features. Using both types of features, we train machine learning models to predict the probability of connection for the new node pairs. We apply our idea of link prediction to two distinct networks: a co-authorship network and a protein--protein interaction network. We demonstrate that the novel features we derive from both the network topology and literature content help improve link prediction accuracy. We also analyze the factors involved in establishing a new link and recurrent connections

    Metadata Architecture for Digital Libraries: Conceptual framework for Indian Digital Libraries

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    This paper describes approach of development of Metadata solution for digital library architecture for resource description and retrieval. This deals with the concept of Metadata [2], the different Metadata standards (Dublin core in particular [5]), Digital library environment, computer network capabilities etc. This paper also discusses two of the Digital Library architecture protocols, for resource description and retrieval. They are STARTS (Stanford Protocol Proposal for Internet Retrieval and Search) [8] and SODA (Smart Objects and Dump Archives)[13] architecture to arrive at a possible protocol that would help to build Indian Digital Libraries [5]. While proposing the new architecture the existing Indian environment with respect to information sources and user's query of the information sources [5.1], which are feasible for launch of this protocol for information processing and retrieval has been dealt with. This is a pilot study which the author has done while doing his Fulbright fellowship in the College of Library Information Studies, University of Maryland, College Park, MD during 1999-2000

    Dissolving boundaries among applied disciplines: a narrative study of transdisciplinary collaboration during a charrette

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    2021 Spring.Includes bibliographical references.Charrettes have a long history of use in medical, architectural, and planning professions. An extensive literature search found little application of the charrette model implemented to advance, support, and identify transdisciplinarity (TD) research, transdisciplinary teaming models (TDM), transdisciplinary learning (TDL) supporting transformative learning (TL) among participants. This study highlighted differing approaches among teams as they navigated ideation and proposed solutions advancing comprehension among students of applied disciplines and how each approached, negotiated, and solved community-based problems. I implemented a TDM charrette to address TDL in educational settings. This two charrette case study implemented 1) an exploratory investigation joined a competition to create a high school of the future in underserved Montbello, Colorado, and 2) a proposal to renovate and develop a historic homestead on a working cattle ranch and wildlife reserve to support a multi-generational educational program, in Sedalia, Colorado. Charrettes included college students from architectural design, construction management, education, environmental sciences, and fish and wildlife. High school students were joined by POs from education, business and ranching professions, artists, and authors. Participants were challenged to create programs using site attributes. Charrette's culminated with team project proposals shared with invited stakeholders. Using Hall's four-phases of TD team based experiential learning and Kolb's Learning Style Models I used visual narrative and a sustainability lens to reflect and incorporate participant experiences and outcomes. Findings identified how students experienced charrettes, how they interacted with other disciplines, participant observers (PO)/facilitator observers (FO), and project stakeholders. TDM emphasized the importance of self-reflection revealed by mutual learning of transferable solutions, synthesis of results, and the visibility and relevance to problem solving. Outcomes showed how participants explored, described discipline knowledge; how shared skills shaped and influenced information sharing, leading to transformative learning (TL). Key findings identified knowledge derived from multiple modes of inquiry gained from TDL addressed problems, contributed to transferability. Challenges identified recruitment of participants from more than three disciplines. This study described and shared how participation advanced knowledge production and integration to solve unstructured problems. The TDM charrette supported TDL and knowledge production that bridged solution oriented approaches among participants leading to TL

    Emerging technologies for learning report (volume 3)

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