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62 results for “Literature Analysis”
International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
<p>In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "intra-individual diversity" has attracted attention as one factor for creating innovation. In this study, we redefine "framework for identifying researchers' areas of expertise" as "a framework for quantifying intra-individual diversity among researchers. Note that diversity here refers to authorship of articles in multiple research fields. The application of this framework then made it possible to visualize organizational diversity by accumulating the intra-individual diversity of researchers and to discuss the innovation strategy of the organization. The analysis in this study discusses how countries are promoting research on the topics of artificial intelligence (AI), big data, and Internet of Things (IoT) technologies, which are at the core of Industry 4.0, from an innovation perspective. Note that Industry 4.0 is a technological framework that aims to "improve the efficiency of all social systems," "create new industries," and "increase intellectual productivity." For the analysis, we used 19-year bibliographic data (2000–2018) from the top 20 countries in terms of the number of papers in AI, big data, and IoT technologies. As the results, this study classified the styles of cross-disciplinary fusion into four patterns in AI and three patterns in big data. This study did not consider the results in IoT because of only small differences between countries. Furthermore, regional differences in the style of cross-disciplinary fusion were also observed, and the global innovation patterns in Industry 4.0 were classified into seven categories. In Europe and North America, the cross-disciplinary integration style was similar to that between the United States, Germany, the Netherlands, Spain, England, Italy, Canada, and France. In Asia, the cross-disciplinary fusion style was similar between China, Japan, and South Korea.</p>
Change Impact Analysis in Microservice Systems A Systematic Literature Review
<p>Reproduction package for Change Impact Analysis in Microservice Systems A Systematic Literature Review</p>
A critical analysis of plant science literature reveals ongoing inequities
<p><span></span></p> <p>These data are associated with the study entitled "<em>A critical analysis of plant science literature reveals ongoing inequities</em>" by Rose A. Marks, Erik J. Amézquita, Sarah Percival, Alejandra Rougon-Cardoso, Claudia Chibici-Revneanu, Shandry M. Tebele, Jill M. Farrant, Daniel H. Chitwood, and Robert VanBuren published in PNAS, 2023. The data deposited here include 296,447 plant science papers published between 2000 to 2021 that were sourced from a representative set of 127 plant science journals based in 26 different nations across 5 continents, covering 21 different subspecialties. Both society and for-profit journals are included, with open access, hybrid, and subscription publishing models. </p>
The relative effectiveness of different grassland restoration methods: A systematic literature search and meta-analysis
<p>1. Active grassland restoration has gained in importance to mitigate the dramatic decline of farmland biodiversity. While there is evidence that such operations are generally effective in promoting plant diversity, little is known about the effectiveness of the different methods applied. Restoration methods can differ in intensity of seed bed preparation, seed source and technique of seed application.</p> <p>2. In this systematic literature search and meta-analysis, we screened the literature for studies of the restoration of mesic grasslands in temperate Europe. We focused on active restoration experiments that included a treatment and lasted more than three years. We evaluated the influence of restoration factors on plant species richness relative to non-restored controls.</p> <p>3. We found 187 articles that investigated the outcome of operations aimed at actively restoring mesic temperate grasslands. Most articles focused on plants, with only 9.6% dealing with other organisms (e.g. beetles, pollinating insects). Many papers had to be excluded due to incomplete data, too short study duration and/or lack of an adequate control. This resulted in 13 articles fulfilling our criteria for inclusion, yielding a total of 56 data points for the meta-analysis.</p> <p>4. Restoration actions increased plant species richness by, on average, 17.4%, compared to controls. The seed source explained a significant amount of variation in plant species richness: seeds originating from a speciose donor grassland had a positive effect. This effect was even enhanced when combined with a commercial seed mix, whereas commercial seed mixes alone had no significant effect. We did not observe any effect of other factors, such as the type of seed bed preparation or the seed application method.</p> <p>5. A seed-source obtained from species-rich grasslands seems to be key to efficient grassland restoration in mesic grasslands of temperate Europe. Even though seeds from a speciose donor grassland should be preferred over commercial seeds, associating natural and commercial seed mixes increases plant species richness. This systematic literature search further revealed two major research gaps in grassland restoration ecology: a deficit in long-term investigations as well as a deficit in studies focusing on non-plant organisms.</p>
Dataset of systematic literature review of paper "Analysis of The Impact of Heat Stress on Embryo Development"
<p>This the dataset of the paper. It included</p> <p>1. Abstract of papers</p> <p>2. Details of papers</p> <p>3. PRISMA checklist </p>
Data and analysis for orthopaedics literature review.
<p>This is a repository of all the data and analysis code to reproduce all the plots and analysis for this paper.</p> <p>To reproduce all plots in the paper, we used Python 3.9.7, install all the requirements in `requirements.txt`,open `Analysis.ipynb` and run every cell in order.</p> <p>The file 'LiteratureTaxonomy.csv' contains information on the 492 papers analysed in the paper.</p>
Literature analysis on seawater-seasand concrete
<p>This file consists of raw data (*opju format) for the figures published in the review article (Rathnarajan S, Sikora P. <i>Seawater-mixed concretes containing natural and sea sand aggregates – A review</i>. <strong>Results in Engineering </strong>(2023) 20, 101457, <a href="https://doi.org/10.1016/j.rineng.2023.101457">https://doi.org/10.1016/j.rineng.2023.101457</a>).</p><p>The origin raw data file consists of data from Figure 1 (a-c), Figure 2, Figure 5, and Figure 6. Individual worksheets with information on the number of articles published, details of binder compositions in published articles are classified, experimental data from hardened and fresh experiments in prior articles are analyzed and presented. </p><p> </p>
The relative effectiveness of different grassland restoration methods: A systematic literature search and meta-analysis
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A critical analysis of plant science literature reveals ongoing inequities
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International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
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Evolution of the Debate on Citizen Participation: A Bibliometric Analysis and a systematic literature review
<p>Attached it is possible to find results of the systematic literature review provides and discusses in the paper: <strong>Evolution of the Debate on Citizen Participation: A Bibliometric Analysis and a systematic literature review</strong></p>
Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)
<p>Dataset accompanying the paper "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)".</p>
Data from: MSAP markers and global cytosine methylation in plants: a literature survey and comparative analysis for a wild growing species
Methylation of DNA cytosines affects whether transposons are silenced and genes are expressed, and is a major epigenetic mechanism whereby plants respond to environmental change. Analyses of methylation-sensitive amplification polymorphism (MS-AFLP or MSAP) have been often used to assess methyl-cytosine changes in response to stress treatments and, more recently, in ecological studies of wild plant populations. MSAP technique does not require a sequenced reference genome and provides many anonymous loci randomly distributed over the genome for which the methylation status can be ascertained. Scoring of MSAP data, however, is not straightforward, and efforts are still required to standardize this step to make use of the potential to distinguish between methylation at different nucleotide contexts. Furthermore, it is not known how accurately MSAP infers genome-wide cytosine methylation levels in plants. Here, we analyse the relationship between MSAP results and the percentage of global cytosine methylation in genomic DNA obtained by HPLC analysis. A screening of literature revealed that methylation of cytosines at cleavage sites assayed by MSAP was greater than genome-wide estimates obtained by HPLC, and percentages of methylation at different nucleotide contexts varied within and across species. Concurrent HPLC and MSAP analyses of DNA from 200 individuals of the perennial herb Helleborus foetidus confirmed that methyl-cytosine was more frequent in CCGG contexts than in the genome as a whole. In this species, global methylation was unrelated to methylation at the inner CG site. We suggest that global HPLC and context-specific MSAP methylation estimates provide complementary information whose combination can improve our current understanding of methylation-based epigenetic processes in nonmodel plants.
Analysis of the concept of Digital Teaching Competence: a systematic literature review
<p>The technological revolution experienced in today's society has led educational organisations to assume the responsibility of training skills and abilities for this new context. Despite the high degree of complexity within technology-mediated ecosystems, the scientific literature seems to agree that the development of teachers' digital competence is identified to be a key variable of success. The definition of digital competence is however not clearly delineated. Moreover, direct and indirect interactions within this technology-mediated teaching and learning process are not clearly identified. The objective of this study is to define the concept of Digital Teaching Competence through a Systematic Literature Review published between 2017 and 2022, using the Scopus and Dialnet databases. A total of 316 references in English and Spanish were identified, of which 32 were selected for the final analysis, following the PRISMA protocol guidelines. The results confirm the existence of a high degree of conceptual fragmentation, as well as the lack of agreement on the terminology to be used. There is a need to reach a consensus on a taxonomy that facilitates, on one hand, the analysis of the elements that make up Digital Teaching Competence, and on the other hand, the improvement of the capacity to analyse specific contextual variables that contribute to enhancing technology-mediated teaching and learning processes.</p>
D1.4 LITERATURE REVIEW ON SOCIAL NETWORK ANALYSIS RELATED TO TRUST IN SCIENCE
<p>This document constitutes a part of the D1.4 Social Network Analysis and includes the literature review that was conducted to investigate the methodologies used for addressing the topic of trust in science in Online Social Networks (OSNs). This review contains studies that have approached the topic of trust in science from different perspectives in OSNs examining both data from OSNs and suveys related to OSNs providing useful insights about the factors that influence public trust in science. Important findings are derived from the literature review that affect public’s trust in science, such as the political ideology, educational level, and cultural factors. Also, different methods of the studies are described such as the analysis of the text of the messages, the reactions of users, and deep learning techniques. The findings of the literature review are provided to the final document of D1.4 as they address the further analysis of the Task 1.4 Social Network Analysis</p>
Irreproducibility in searches of scientific literature: a comparative analysis
<p>1. Repeatability is the cornerstone of science and it is particularly important for systematic reviews. However, little is known on how researchers' choice of database and search platform influence the repeatability of systematic reviews. Here, we aim to unveil how the computer environment and the location where the search was initiated from influence hit results.</p> <p>2. We present a comparative analysis of time-synchronized searches at different institutional locations in the world, and evaluate the consistency of hits obtained within each of the search terms using different search platforms.</p> <p>3. We revealed a large variation among search platforms and showed that PubMed and Scopus returned consistent results to identical search strings from different locations. Google Scholar and Web of Science's Core Collection varied substantially both in the number of returned hits and in the list of individual articles depending on the search location and computing environment. Inconsistency in Web of Science results has most likely emerged from the different licensing packages at different institutions.</p> <p>4. To maintain scientific integrity and consistency, especially in systematic reviews, action is needed from both the scientific community and scientific search platforms to increase search consistency. Researchers are encouraged to report the search location and the databases used for systematic reviews, and database providers should make search algorithms transparent and revise access rules to titles behind paywalls. Additional options for increasing the repeatability and transparency of systematic reviews are storing both search metadata and hit results in open repositories and using Application Programming Interfaces (APIs) to retrieve standardized, machine-readable search metadata.</p>
Analysis: Systematic literature review PRISMA model results about extended, virtual and augmented reality applied to Science Communication
<div> <p>The results of the analysis made after the PRISMA process of the systematic literature review carried out about results about extended, virtual and augmented reality applied to Science Communication.</p> </div>
Analysis of System-Oriented Testing Based on Microservices Architecture: A Systematic Literature Review
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FIGURE 4 in Literature analysis and present state of knowledge of benthic Medusozoa (Cnidaria) from the Bay of Biscay and nearby areas (northeastern Atlantic), with emphasis on biodiversity
FIGURE 4. New records of medusozoan species per decade, and accumulative curve. Since the year 2000, the accumulative curve has begun to plateau. (New but unpublished records of Dipurena ophiogaster, Ectopleura wrighti, Hydractinia exigua, Rhizogeton sp., Zanclea sp. and Zanclea cf. giancarloi, have been included).
FIGURE 3 in Literature analysis and present state of knowledge of benthic Medusozoa (Cnidaria) from the Bay of Biscay and nearby areas (northeastern Atlantic), with emphasis on biodiversity
FIGURE 3. Numbers of taxonomic papers published by authors from Spain, and from other countries (mainly France), per decade. Papers written by authors from multiple countries including Spain are scored twice.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.