Construction and Application of Conceptual Framework as Research Tool: A Researcher’s Reflections

The importance of any study is demonstrated through the linkages made between research questions and larger theoretical concepts or policy, demonstrating how the particulars of the study serve to illuminate larger issues and, therefore, portraying the significance of the study. This theoretical concept or conceptual framework has the functions of building a foundation of the research; demonstrating how study advances knowledge; conceptualising the study; assessing the research design and instrumentation; and providing reference point for interpretation the findings. This paper outlines the author’s reflections on the building and application of a conceptual framework as a research tool.   Author’s aim is to share his experience with researchers, especially students, who may be required to apply the tool but may find difficulty developing one. Using author’s own (PhD) research topic, the paper firstly discusses the various stages that input to construct the framework and, secondly, considers how the choice of research methodology, data collection and analysis techniques are informed by the framework.   Key lesson is that a well-constructed conceptual framework has the potential of informing the choice of appropriate research methodology that in turn influences the data collection and analysis techniques, and even the research findings. This paper is expected to be of value to anyone seeking to better understand conceptual framework as a research tool, especially ‘young’ researchers who may be required to develop and apply one but may find it difficult doing so. Key Words: Conceptual framework; literature review; methodology; data collection method; data analysis metho

iGEM: a model system for team science and innovation

Teams are a primary source of innovation in science and technology. Rather than examining the lone genius, scholarly and policy attention has shifted to understanding how team interactions produce new and useful ideas. Yet the organizational roots of innovation remain unclear, in part because of the limitations of current data. This paper introduces the international Genetically Engineered Machine (iGEM) competition, a model system for studying team science and innovation. By combining digital laboratory notebooks with performance data from 2,406 teams over multiple years of participation, we reveal shared dynamical and organizational patterns across teams and identify features associated with team performance and success. This dataset makes visible organizational behavior that is typically hidden, and thus understudied, creating new opportunities for the science of science and innovation.Comment: 78 pages including SI, 7 figures, 18 SI figure

A Meta-Analysis of the Existing Knowledge of Immunoreactivity against Hepatitis C Virus (HCV)

Approximately 3% of the world population is infected by HCV, which represents a major global health challenge. Almost 400 different scientific reports present immunological data related to T cell and antibody epitopes derived from HCV literature. Analysis of all HCV-related epitope hosted in the Immune Epitope Database (IEDB), a repository of freely accessible immune epitope data, revealed more than 1500 and 1900 distinct T cell and antibody epitopes, respectively. The inventory of all data revealed specific trends in terms of the host and the HCV genotypes from which sequences were derived. Upon further analysis we found that this large number of epitopes reflects overlapping structures, and homologous sequences derived from different HCV isolates. To access and visualize this information we developed a novel strategy that assembles large sets of epitope data, maps them onto reference genomes and displays the frequency of positive responses. Compilation of the HCV immune reactivity from hundreds of different studies, revealed a complex and thorough picture of HCV immune epitope data to date. The results pinpoint areas of more intense reactivity or research activities at the level of antibody, CD4 and CD8 responses for each of the individual HCV proteins. In general, the areas targeted by the different effector immune functions were distinct and antibody reactivity was positively correlated with hydrophilicity, while T cell reactivity correlated with hydrophobicity. At the sequence level, epitopes frequently recognized by both T cell and B cell correlated with low variability, and our analysis thus highlighted areas of potential interest for practical applications. The human reactivity was further analyzed to pinpoint differential patterns of reactivity associated with acute versus chronic infection, to reveal the apparent impact of glycosylation on T cell, but not antibody responses, and to highlight a paucity of studies involved antibody epitopes associated with virus neutralization

Biochemical aspects of nitric oxide synthase feedback regulation by nitric oxide

Nitric oxide (NO) is a small gas molecule derived from at least three isoforms of the enzyme termed nitric oxide synthase (NOS). More than 15 years ago, the question of feedback regulation of NOS activity and expression by its own product was raised. Since then, a number of trials have verified the existence of negative feedback loop both in vitro and in vivo. NO, whether released from exogenous donors or applied in authentic NO solution, is able to inhibit NOS activity and also intervenes in NOS expression processes by its effect on transcriptional nuclear factor NF-κB. The existence of negative feedback regulation of NOS may provide a powerful tool for experimental and clinical use, especially in inflammation, when massive NOS expression may be detrimental

Harnessing collective intelligence for the future of learning – a co-constructed research and development agenda

Learning, defined as the process of constructing meaning and developing competencies to act on it, is instrumental in helping individuals, communities, and organizations tackle challenges. When these challenges increase in complexity and require domain knowledge from diverse areas of expertise, it becomes difficult for single individuals to address them. In this context, collective intelligence, a capacity of groups of people to act together and solve problems using their collective knowledge, becomes of great importance. Technologies are instrumental both to support and understand learning and collective intelligence, hence the need for innovations in the area of technologies that can support user needs to learn and tackle collective challenges. Use-inspired research is a fitting paradigm that spans applied solutions and scientific explanations of the processes of learning and collective intelligence, and that can improve the technologies that may support them. Although some conceptual and theoretical work explaining and linking learning with collective intelligence is emerging, technological infrastructures as well as methodologies that employ and evidence that support them are nascent. We convened a group of experts to create a middleground and engage with the priorities for use-inspired research. Here we detail directions and methods they put forward as most promising for advancing a scientific agenda around learning and collective intelligence

Mettere in gioco i servizi ecosistemici: limiti e opportunità di nuovi scenari sociali ed economici.

Gli ecosistemi forniscono un supporto indispensabile alla qualità di vita di un territorio attraverso beni e funzioni erogati naturalmente dagli ecosistemi (servizi ecosistemici). Questi servizi possono essere valutati in termini economici, considerando il peso economico del Capitale Naturale nella gestione delle risorse e nella pianificazione del territorio (es. piani strategici, piani di sviluppo rurale) e riconoscendo il ruolo di quei territori che posseggono risorse ambientali e che adottano strategie di pianificazione sostenibili. Tale approccio si può tradurre in una perequazione territoriale tra i territori che consumano risorse e quelli che le producon