Results 11 to 20 of about 1,436,040 (308)
Lean Management a Co-occurrence Analysis
WPOM : Working Papers on Operations Management, 2023 The objective of this work is to identify and visualize the intellectual structure of the Lean Manufacturing research field. To achieve this, a bibliometric analysis will be carried out that combines a performance and co-occurrence analysis, to identify ...
Vanessa Rodríguez Cornejo +1 more
doaj +4 more sources
TCM Treatment and Drug Co-Occurrence Analysis of Psoriasis. [PDF]
Comput Intell Neurosci, 2022 Psoriasis is a long-term immune-mediated disease. Patients with a long history and slow progress are more common, and its treatment is difficult. This study proposes to use traditional Chinese medicine to treat psoriasis. Through the follow-up of all participants for 12 and 24 weeks, a large number of comparative experiments effectively verify the ...
Lin L, Yang S, Bai Q, An Y.
europepmc +3 more sources
Identification and analysis of co-occurrence networks with NetCutter.
PLoS ONE, 2008 BACKGROUND: Co-occurrence analysis is a technique often applied in text mining, comparative genomics, and promoter analysis. The methodologies and statistical models used to evaluate the significance of association between co-occurring entities are quite
Heiko Müller +3 more
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Demonstrating microbial co-occurrence pattern analyses within and between ecosystems
Frontiers in Microbiology, 2014 Co-occurrence patterns are used in ecology to explore interactions between organisms and environmental effects on coexistence within biological communities.
Adina Howe +2 more
exaly +4 more sources
Co-occurrence of modal markers: a network analysis approach
, 2020 This study stems from my PhD thesis on the co-occurrence of modal markers in a Latin corpus, with a focus on the syntactic structures or linguistic items with which they interact.
Paola Marongiu
core +3 more sources
A better index for analysis of co-occurrence and similarity [PDF]
Science Advances, 2022 Scientists often need to know whether pairs of entities tend to occur together or independently. Standard approaches to this issue use co-occurrence indices such as Jaccard, Sørensen-Dice, and Simpson. We show that these indices are sensitive to the prevalences of the entities they describe and that this invalidates their interpretability.
Kumar P. Mainali +3 more
openaire +2 more sources
A Mapping and Visualization of the Role of Artificial Intelligence in Sport Industry [PDF]
Research in Sport Management and Marketing, 2023 Purpose: The purpose of this study is to analyze how the scientific community has assessed and addressed the application of artificial intelligence in the sports industry and to identify dominant academic themes and neglected topics.Methods: A total of ...
mohammad mohsen sadr +2 more
doaj +1 more source
A Probabilistic Model For Co-Occurrence Analysis in Bibliometrics
Journal of Biomedical Informatics, 2021 Abstract The co-occurrence analysis of Medical Subject Heading (MeSH) terms in the bibliographic database is popularly used in bibliometrics. Practically for making the result interpretable, it is necessary to apply a certain filter procedure of co-occurrence matrix for removing the low-frequency items that should not appear in the final result
Xiaobei Zhou +3 more
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Sentiment and structure in word co-occurrence networks on Twitter
Applied Network Science, 2022 We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connected ...
Mikaela Irene Fudolig +4 more
doaj +1 more source
A Bibliometric Mapping of Cost-Benefit Analysis—Three Decades of Studies
Economies, 2021 Over time, the cost-benefit analysis has become a method that helps to clarify the pros and cons in many areas of human activity where both investment and non-investment projects are implemented.
Ingrid Majerova, Ainur Abdrazakova
doaj +1 more source