201,554 research outputs found
The survival effects of non-R&D induced innovation during crisis
No full textData availability:
Data will be made available on request.JEL:
O32; O38; O14.Declaration of Generative AI and AI-assisted technologies in the writing process: During the preparation of this paper, the author used ChatGPT for proofreading the text. Following the use of this tool, the author reviewed and edited all content as necessary and accepts full responsibility for the final version of the manuscript.Using firm-level data from 41 countries, this study investigates how resource-constrained firms can strengthen their resilience to resist the COVID-19 crisis through non-R&D induced innovation. The empirical results show that firms in Middle- and Low-income countries, where access to government aid is often constrained, can enhance their survival prospects by internally upgrading their learning and adaptive capabilities. Specifically, non-R&D induced innovation can effectively substitute for insufficient government financial support by enabling firms to adjust operations and maintain competitiveness during the Covid-19 pandemic. The findings emphasise the importance of jointly considering government support and innovation in firm survival analyses, as omitting either factor may introduce potential omitted variable bias. To address this, supervised learning approaches are employed to predict whether firms that exited had received government support prior to closure. In addition, this study advances the literature by uncovering the complementary roles of innovation and government financial interventions, and highlights context-specific strategies that policymakers should adopt to improve firm resilience amid external shocks
DNA Methylation Dynamics Associated with Long-term Isolation of Simulated Space Travel. Hou et al.
No full textThis dataset contains intermediate data products and analysis scripts for Hou et al "DNA Methylation Dynamics Associated with Long-term Isolation of Simulated Space Travel". We created a separate zip file for all data related to each figure or table. Within that zip file, we labeled the data with the figure or table panel and a small description. In addition, the dataset includes one script file 'Hou et al R scripts. r', and it is the main analysis script including method implementation, statistical test, graphic visualization, and so on.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Linear representations of circular plasmids observed in USA300-HOU-MR (a, b) and USA300-MS (c)
No full text<p><b>Copyright information:</b></p><p>Taken from "Subtle genetic changes enhance virulence of methicillin resistant and sensitive "</p><p>http://www.biomedcentral.com/1471-2180/7/99</p><p>BMC Microbiology 2007;7():99-99.</p><p>Published online 6 Nov 2007</p><p>PMCID:PMC2222628.</p><p></p> Replication and regulatory genes are colored red, recombination/transposition genes are green, antibiotic/heavy metal/bacteriocin resistance genes are blue, other genes are white and hypothetical, conserved hypothetical (CHP) and staphylococcal conserved hypotheticals (SCHP) are colored grey. Horizontal bars indicate the regions of pUSA300-HOU-MR and pUSA300-HOU-MS having homology with other sequenced staphylococcal plasmids
Attentional bias towards health-threat information in chronic fatigue syndrome.
No full textObjectiveTo investigate whether individuals with chronic fatigue syndrome (CFS) show an attentional bias towards health-threat information.MethodsAttentional bias (AB) was assessed in individuals with CFS and healthy controls using a visual probe task which presented health-threat and neutral words and pictures for 500 ms. Self-report questionnaires were used to assess CFS symptoms, depression, anxiety, and social desirability.ResultsCompared to a healthy control group, the CFS group showed an enhanced AB towards heath-threat stimuli relative to neutral stimuli. The AB was not influenced by the type of stimulus (pictures vs. words).ConclusionThe finding of an AB towards health-threat information in individuals with CFS is supportive of models of CFS which underlie cognitive behavior therapy
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Behaviour-based circle formation control for a team of cooperative Unmanned Underwater Vehicles
No full textThe Hands-On Universe Project and Modeling Instruction Based HOU: MI-HOU
No full textWe describe here an evolving process to re-cast HOU (the Hands-On Universe project) into the conceptual framework, pedagogical structure, and teacher network of Modeling Instruction (“MI”). This new system “MI-HOU” (pronounced “My H-O-U”) has many attributes that we believe will tilt it towards sustainability and long term success. Before its merging with MI, Hands-On Universe (HOU or Global Hands-On Universe – GHOU – see http:// handsonuniverse.org) has helped pioneer the use of robotic telescope and other professional grade astronomy data in classrooms, and has had evidenced many successes over its lifetime. HOU has enjoyed decades of gradual expansion and growth into many classrooms around the world, and has been an effective enabler of students undertaking high-quality, inquiry-based science education. Now, to enable broader and deeper acceptance across a wider audience, HOU is converting its pedagogy and materials to Modeling Instruction (see http://modelinginstruction.org). MI-HOU will also eventually become part of a high school earth and space science curriculum, besides reaching semester long astronomy classes, and some physics and physical science courses. Modeling Instruction is a very successful and growing pedagogy that affords much deeper conceptual learning by students than that from conventional teaching. Embedding robotic telescopes into this pedagogical framework should allow their use powerfully by a larger number of classrooms within the Modeling Instruction Community (1800 physics teachers, for example). All the while, through assessments that are being developed, we gradually begin the important spade work of convincing school authorities of the power of this kind of teaching and learning
- …
