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Journal articles on the topic 'Relevance Discovery'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

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1

Li, Yuefeng, Abdulmohsen Algarni, Mubarak Albathan, Yan Shen, and Moch Arif Bijaksana. "Relevance Feature Discovery for Text Mining." IEEE Transactions on Knowledge and Data Engineering 27, no. 6 (2015): 1656–69. http://dx.doi.org/10.1109/tkde.2014.2373357.

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2

Sharma, Vikrant. "Relevance Feature Discovery for Text Mining." Mathematical Statistician and Engineering Applications 70, no. 1 (2021): 225–33. http://dx.doi.org/10.17762/msea.v70i1.2303.

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Due to large size words also data patterns, it is difficult to ensure the quality of relevant characteristics that are found in text documents that describe user preferences. Most widely used text mining and classification techniques now in use have embraced term-based strategies. However, polysemy and synonymy issues have affected them all. The theory that pattern-based approaches should outperform term-based ones in performance in expressing user preferences has been often held throughout the years, however text mining still struggles with how to employ large-scale patterns successfully. Thi

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3

Cucurull-Sanchez, Lourdes, Karen G. Spink, and Sterghios Athanasios Moschos. "Relevance of systems pharmacology in drug discovery." Drug Discovery Today 17, no. 13-14 (2012): 665–70. http://dx.doi.org/10.1016/j.drudis.2012.01.015.

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Fernández‐Hernández, Ismael, Eulalia Scheenaard, Giulia Pollarolo, and Cayetano Gonzalez. "The translational relevance of Drosophila in drug discovery." EMBO reports 17, no. 4 (2016): 471–72. http://dx.doi.org/10.15252/embr.201642080.

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5

Schulz, Martin, and Kejia Zhu. "Rule Network Evolution as Discovery of Knowledge Relevance." Academy of Management Proceedings 2016, no. 1 (2016): 11159. http://dx.doi.org/10.5465/ambpp.2016.11159abstract.

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6

Horn, Friedemann. "Discovery of stat3 signalling and its clinical relevance." Arthritis Research & Therapy 13, Suppl 2 (2011): O11. http://dx.doi.org/10.1186/ar3415.

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7

Jung, Hoill, and Kyung-Yong Chung. "Discovery of automotive design paradigm using relevance feedback." Personal and Ubiquitous Computing 18, no. 6 (2013): 1363–72. http://dx.doi.org/10.1007/s00779-013-0738-z.

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Mandal, Soma, Samuel Njikan, Anuradha Kumar, Julie V. Early, and Tanya Parish. "The relevance of persisters in tuberculosis drug discovery." Microbiology 165, no. 5 (2019): 492–99. http://dx.doi.org/10.1099/mic.0.000760.

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9

MAMITSUKA, H. "Informatic innovations in glycobiology: relevance to drug discovery." Drug Discovery Today 13, no. 3-4 (2008): 118–23. http://dx.doi.org/10.1016/j.drudis.2007.10.013.

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10

Qureshi, Rizwan, Muhammad Irfan, Taimoor Muzaffar Gondal, et al. "AI in drug discovery and its clinical relevance." Heliyon 9, no. 7 (2023): e17575. http://dx.doi.org/10.1016/j.heliyon.2023.e17575.

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11

MS.BHAVANA, PATIL, and BHARTI DIXIT PROF. "IMPROVED FRAMEWORK FOR DIVERSIFYING WEB SERVICE RECOMMENDATION RESULTS USING USERS REVIEWS AND USAGE HISTORY." IJIERT - International Journal of Innovations in Engineering Research and Technology 4, no. 10 (2017): 16–24. https://doi.org/10.5281/zenodo.1456407.

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<strong><strong> </strong>As the increasing web services day by day over the internet,discovery of web services is becoming challenging research problem to be addressed for service computing community. There are number of web service recommendation methods has been proposed so far to solve the problem of web service discovery from the large pool of web services. However the limitation of these methods is that they are producing the similar web services in recommendation lists some times. To address this research problem,the novel improved web service recommendation method is presented in

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12

Jakhar, Ritu, Mehak Dangi, Alka Khichi, and Anil Kumar Chhillar. "Relevance of Molecular Docking Studies in Drug Designing." Current Bioinformatics 15, no. 4 (2020): 270–78. http://dx.doi.org/10.2174/1574893615666191219094216.

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Molecular Docking is used to positioning the computer-generated 3D structure of small ligands into a receptor structure in a variety of orientations, conformations and positions. This method is useful in drug discovery and medicinal chemistry providing insights into molecular recognition. Docking has become an integral part of Computer-Aided Drug Design and Discovery (CADDD). Traditional docking methods suffer from limitations of semi-flexible or static treatment of targets and ligand. Over the last decade, advances in the field of computational, proteomics and genomics have also led to the de

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13

Sahoo, Satyabrata, and Pijushkanti Panigrahi. "Relevancy Ranking Assessment of a Discovery Tool." Webology 19, no. 2 (2023): 3298–309. https://doi.org/10.5281/zenodo.8183955.

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Purpose- The purpose of this paper is to assess relevancy ranking order provided against search term by a Discovery Tool (DT) and show relationship between the background of assessor and their assessment about the relevancy ranking order. Design/methodology/approach- The relevant literature is reviewed minutely and the methodology has been designed in an apposite way. The search result found against a term assessed anonymously by hiding DT name and actual ranking order provided by the DT. Data collected in Likert Scale. Collected data analyzed by using statistical tool named SPSS. Respondents

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14

Hall, Judith M., Malcolm P. Caulfield, Stephen P. Watson, and Steven Guard. "Receptor subtypes or species homologues: relevance to drug discovery." Trends in Pharmacological Sciences 14, no. 10 (1993): 376–83. http://dx.doi.org/10.1016/0165-6147(93)90096-3.

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15

Wang, Jianqiang, and Dagobert Soergel. "A user study of relevance judgments for E-Discovery." Proceedings of the American Society for Information Science and Technology 47, no. 1 (2010): 1–10. http://dx.doi.org/10.1002/meet.14504701157.

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16

Mariño, María Ana. "Incidentalomas: concept, relevance and challenges for medical practice." Revista Brasileira de Medicina de Família e Comunidade 10, no. 35 (2015): 1–9. http://dx.doi.org/10.5712/rbmfc10(35)1053.

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Incidentaloma (which has not been included as a MeSH term neither in other medical databases or Bioportal) is a neologism used to describe an incidentally discovered mass (or abnormality) in asymptomatic persons. Incidentaloma, or incidental finding, is extremely common now and in most cases harmless, but sometimes it is not possible to exclude the possibility of real damage and in very few cases, some people can get benefit from its discovery. Therefore, most of incidentalomas represent overdiagnosis originated by the massive use of high-resolution diagnostic procedures. In many cases, incide

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17

Hammami, Randa, Hatem Bellaaj, and Ahmed Hadj Kacem. "Semantic Web Services Discovery." International Journal on Semantic Web and Information Systems 14, no. 4 (2018): 57–72. http://dx.doi.org/10.4018/ijswis.2018100103.

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This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this

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18

Inel, Oana, and Lora Aroyo. "Fine-tuning machine confidence with human relevance for video discovery." Interactions 29, no. 4 (2022): 78–82. http://dx.doi.org/10.1145/3539596.

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19

Dilsizian, Vasken. "Challenging Nuclear Cardiology Research: Stimulating Discovery, Validation, and Clinical Relevance." Journal of Nuclear Medicine 59, no. 1 (2017): 13–14. http://dx.doi.org/10.2967/jnumed.117.203042.

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20

Kinghorn, A. Douglas, Li Pan, Joshua N. Fletcher, and Heebyung Chai. "The Relevance of Higher Plants in Lead Compound Discovery Programs." Journal of Natural Products 74, no. 6 (2011): 1539–55. http://dx.doi.org/10.1021/np200391c.

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21

Lam, Wai, Wei Wang, and Che-Wang Yue. "Web Discovery and Filtering Based on Textual Relevance Feedback Learning." Computational Intelligence 19, no. 2 (2003): 136–63. http://dx.doi.org/10.1111/1467-8640.00217.

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22

Baell, Jonathan B., Lori Ferrins, Hendrik Falk, and George Nikolakopoulos. "PAINS: Relevance to Tool Compound Discovery and Fragment-Based Screening." Australian Journal of Chemistry 66, no. 12 (2013): 1483. http://dx.doi.org/10.1071/ch13551.

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Pan assay interference compounds (PAINS) are readily discovered in any bioassay and can appear to give selective and optimisable hits. The most common PAINS can be readily recognised by their structure. However, there are compounds that closely resemble PAINS that are not specifically recognised by the PAINS filters. In addition, highly reactive compounds are not encoded for in the PAINS filters because they were excluded from the high-throughput screening (HTS) library used to develop the filters and so were never present to provide indicting data. A compounding complication in the area is th

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23

van Asperen, Jessy V., Pierre A. J. T. Robe, and Elly M. Hol. "GFAP Alternative Splicing and the Relevance for Disease – A Focus on Diffuse Gliomas." ASN Neuro 14 (January 2022): 175909142211020. http://dx.doi.org/10.1177/17590914221102065.

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Glial fibrillary acidic protein (GFAP) is an intermediate filament protein that is characteristic for astrocytes and neural stem cells, and their malignant analogues in glioma. Since the discovery of the protein 50 years ago, multiple alternative splice variants of the GFAP gene have been discovered, leading to different GFAP isoforms. In this review, we will describe GFAP isoform expression from gene to protein to network, taking the canonical isoforms GFAPα and the main alternative variant GFAPδ as the starting point. We will discuss the relevance of studying GFAP and its isoforms in disease

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24

Jose, Antony, V. M. Berlin Grace, Jibin Jose, and D. David Wilson. "Relevance of Hermann Hesse: a systematic review of different perspectives." RUDN Journal of Studies in Literature and Journalism 28, no. 4 (2023): 845–58. http://dx.doi.org/10.22363/2312-9220-2023-28-4-845-858.

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During the first decades of the 20th century, many European intellectuals were developing negative responses to modernity. Hermann Hesse was aware of the moral and social difficulties plaguing Europe at that time and dealt with these problems in his writing. Despite being a German author, he is well read even today, and his characters' quests and journeys of self-discovery captivate young people worldwide. This study aims to bring out the relevance of Hesse by analysing the historiography of the studies on Hesse's works and interrogating the significance of different perspectives on him, which

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25

Craven, Caley B., Lindsay K. Jmaiff Blackstock, Jiaojiao Xie, Jinhua Li, Chun-Gang Yuan, and Xing-Fang Li. "Analytical discovery of water disinfection byproducts of toxicological relevance: highlighting halobenzoquinones." Canadian Journal of Chemistry 99, no. 9 (2021): 715–24. http://dx.doi.org/10.1139/cjc-2021-0036.

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Analytical advancement enables discoveries in water research, and challenges in the identification and determination of a wide range of trace level toxic compounds in water drives the development of new analytical platforms and tools. The identification of toxic disinfection byproducts (DBPs) in disinfected drinking water is an excellent example. Water disinfection is necessary to protect the public from waterborne disease. However, an unintentional consequence is the formation of DBPs resulting from reactions of disinfectants with natural organic matter in source water. To date, regulated DBP

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26

Dubey, Sunil Kumar, Kommera Sai Pradyuth, Sreehari Krishna Kulkarni, and Gautam Singhvi. "Pharmacokinetic–pharmacodynamic modeling and it is relevance in the drug discovery." International Journal of Pharmacokinetics 3, no. 3 (2018): 91–92. http://dx.doi.org/10.4155/ipk-2018-0004.

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27

Azevedo, Rita, Chloé Jacquemin, Nicolas Villain, François Fenaille, Foudil Lamari, and François Becher. "Mass Spectrometry for Neurobiomarker Discovery: The Relevance of Post-Translational Modifications." Cells 11, no. 8 (2022): 1279. http://dx.doi.org/10.3390/cells11081279.

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Neurodegenerative diseases are incurable, heterogeneous, and age-dependent disorders that challenge modern medicine. A deeper understanding of the pathogenesis underlying neurodegenerative diseases is necessary to solve the unmet need for new diagnostic biomarkers and disease-modifying therapy and reduce these diseases’ burden. Specifically, post-translational modifications (PTMs) play a significant role in neurodegeneration. Due to its proximity to the brain parenchyma, cerebrospinal fluid (CSF) has long been used as an indirect way to measure changes in the brain. Mass spectrometry (MS) anal

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28

Toropova, Alla P., and Andrey A. Toropov. "Editorial; Impact of Drug Metabolism and its Relevance upon Drug Discovery." Current Drug Metabolism 18, no. 12 (2018): 1070. http://dx.doi.org/10.2174/138920021812180212125619.

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29

Ware, Lorraine, and David Janz. "Biomarkers of ALI/ARDS: Pathogenesis, Discovery, and Relevance to Clinical Trials." Seminars in Respiratory and Critical Care Medicine 34, no. 04 (2013): 537–48. http://dx.doi.org/10.1055/s-0033-1351124.

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30

Remus, Jennifer L., and Robert Dantzer. "Inflammation Models of Depression in Rodents: Relevance to Psychotropic Drug Discovery." International Journal of Neuropsychopharmacology 19, no. 9 (2016): pyw028. http://dx.doi.org/10.1093/ijnp/pyw028.

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31

Kingston, David G. I. "Modern Natural Products Drug Discovery and Its Relevance to Biodiversity Conservation." Journal of Natural Products 74, no. 3 (2011): 496–511. http://dx.doi.org/10.1021/np100550t.

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32

Papanikolopoulou, Katerina, Amrit Mudher, and Efthimios Skoulakis. "An assessment of the translational relevance of Drosophila in drug discovery." Expert Opinion on Drug Discovery 14, no. 3 (2019): 303–13. http://dx.doi.org/10.1080/17460441.2019.1569624.

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33

Margineanu, Doru Georg, and Henrik Klitgaard. "Mechanisms of drug resistance in epilepsy: relevance for antiepileptic drug discovery." Expert Opinion on Drug Discovery 4, no. 1 (2008): 23–32. http://dx.doi.org/10.1517/17460440802611729.

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34

Panetta, Rosemarie, and Michael T. Greenwood. "Physiological relevance of GPCR oligomerization and its impact on drug discovery." Drug Discovery Today 13, no. 23-24 (2008): 1059–66. http://dx.doi.org/10.1016/j.drudis.2008.09.002.

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35

Jaślan, Dawid, Sandip Patel, and Christian Grimm. "New insights into gating mechanisms in TPCs: Relevance for drug discovery." Cell Calcium 112 (June 2023): 102732. http://dx.doi.org/10.1016/j.ceca.2023.102732.

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36

Van Eck, Dingmar, and Raoul Gervais. "Difference making, explanatory relevance, and mechanistic models." THEORIA. An International Journal for Theory, History and Foundations of Science 31, no. 1 (2016): 125–34. http://dx.doi.org/10.1387/theoria.13282.

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In this paper we consider mechanistic explanations for biologic malfunctions. Drawing on Lipton’s (1993) work on difference making, we offer three reasons why one should distinguish i) mechanistic features that only make a difference to the malfunction one aims to explain, from ii) features that make a difference to both the malfunction and normal functioning. Recognition of the distinction is important for a) repair purposes, b) mechanism discovery, and c) understanding. This analysis extends current mechanistic thinking, which fails to appreciate the distinction. We illustrate our contributi

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37

Wang, Dong, Jermaine Marshall, and Chao Huang. "Theme-Relevant Truth Discovery on Twitter: An Estimation Theoretic Approach." Proceedings of the International AAAI Conference on Web and Social Media 10, no. 1 (2021): 408–16. http://dx.doi.org/10.1609/icwsm.v10i1.14713.

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Twitter has emerged as a new application paradigm of sensing the physical environment by using human as sensors. These human sensed observations are often viewed as binary claims (either true or false). A fundamental challenge on Twitter is how to ascertain the credibility of claims and the reliability of sources without the prior knowledge on either of them beforehand. This challenge is referred to as truth discovery. An important limitation exists in the current Twitter-based truth discovery solutions: they did not explore the theme relevance aspect of claims and the correct claims identifie

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38

Xu, Peng Fei. "Convolutive Blind Separation Using Domino Effect Relevance Ranking." Advanced Materials Research 774-776 (September 2013): 1699–702. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1699.

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Based on the discovery that there is a good amplitude correlation between neighbour bins of non-stationary signals, we presented a new blind source separation method using Domino Effect relevance ranking that can eliminate the permutation indeterminacy. Since there is no complicated mathematic derivation in this method, it is relatively simple in theory. Furthermore, the outcome of simulation experiments confirmed its validity in blind source separation of communication signals such as QPSK signal. In addition, this method is robust and time saving.

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39

Thomas, Simon. "Clinical relevance of predictive physiologically based pharmacokinetic methods." Expert Opinion on Drug Discovery 3, no. 7 (2008): 725–32. http://dx.doi.org/10.1517/17460441.3.7.725.

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40

Carnac, Gilles, Stephanie Ricaud, Barbara Vernus, and Anne Bonnieu. "Myostatin: Biology and Clinical Relevance." Mini-Reviews in Medicinal Chemistry 6, no. 7 (2006): 765–70. http://dx.doi.org/10.2174/138955706777698642.

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41

Chukwudozie, Onyeka S., Vincent C. Duru, Charlotte C. Ndiribe, Abdullahi T. Aborode, Victor O. Oyebanji, and Benjamin O. Emikpe. "The Relevance of Bioinformatics Applications in the Discovery of Vaccine Candidates and Potential Drugs for COVID-19 Treatment." Bioinformatics and Biology Insights 15 (January 2021): 117793222110021. http://dx.doi.org/10.1177/11779322211002168.

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The application of bioinformatics to vaccine research and drug discovery has never been so essential in the fight against infectious diseases. The greatest combat of the 21st century against a debilitating disease agent SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus discovered in Wuhan, China, December 2019, has piqued an unprecedented usage of bioinformatics tools in deciphering the molecular characterizations of infectious pathogens. With the viral genome data of SARS-COV-2 been made available barely weeks after the reported outbreak, bioinformatics platforms have become

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42

BOHN, L., and K. RAEHAL. "Opioid receptor signaling: relevance for gastrointestinal therapy." Current Opinion in Pharmacology 6, no. 6 (2006): 559–63. http://dx.doi.org/10.1016/j.coph.2006.06.007.

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43

JOULIAEKAZA, D., and G. CABELLO. "The myostatin gene: physiology and pharmacological relevance." Current Opinion in Pharmacology 7, no. 3 (2007): 310–15. http://dx.doi.org/10.1016/j.coph.2006.11.011.

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44

Sun, Tao, Ming Zhang, and Qiaozhu Mei. "Unexpected Relevance: An Empirical Study of Serendipity in Retweets." Proceedings of the International AAAI Conference on Web and Social Media 7, no. 1 (2021): 592–601. http://dx.doi.org/10.1609/icwsm.v7i1.14435.

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Serendipity is a beneficial discovery that happens in an unexpected way. It has been found spectacularly valuable in various contexts, including scientific discoveries, acquisition of business, and recommender systems. Although never formally proved with large-scale behavioral analysis, it is believed by scientists and practitioners that serendipity is an important factor of positive user experience and increased user engagement. In this paper, we take the initiative to study the ubiquitous occurrence of serendipitious information diffusion and its effect in the context of microblogging commun

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45

Krishna, Jai. "Discovery of Lower Berriasian (Lower Creataceous) Ammonoid Genus Argentiniceras from Kachchh (India) and its Relevance to Jurassic/Cretaceous Boundary." Newsletters on Stratigraphy 23, no. 3 (1991): 141–50. http://dx.doi.org/10.1127/nos/23/1991/141.

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46

Grisci, Bruno Iochins, Mathias J. Krause, and Marcio Dorn. "Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data." Information Sciences 559 (June 2021): 111–29. http://dx.doi.org/10.1016/j.ins.2021.01.052.

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47

Rujescu, Dan, Just Genius, Jens Benninghoff, and Ina Giegling. "Current Progress in the Genetic Research of Schizophrenia: Relevance for Drug Discovery?" Current Pharmaceutical Biotechnology 13, no. 8 (2012): 1614–21. http://dx.doi.org/10.2174/138920112800784754.

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48

Nehra, Geetika, Bjoern Bauer, and Anika M. S. Hartz. "Blood-brain barrier leakage in Alzheimer’s disease: From discovery to clinical relevance." Pharmacology & Therapeutics 234 (June 2022): 108119. http://dx.doi.org/10.1016/j.pharmthera.2022.108119.

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49

Dua, Harminder S., Lana A. Faraj, and Dalia G. Said. "Dua’s layer: discovery, characteristics, clinical applications, controversy and potential relevance to glaucoma." Expert Review of Ophthalmology 10, no. 6 (2015): 531–47. http://dx.doi.org/10.1586/17469899.2015.1103180.

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50

Hao, Da-Cheng, and Pei-Gen Xiao. "Impact of Drug Metabolism/Pharmacokinetics and their Relevance Upon Salviabased Drug Discovery." Current Drug Metabolism 18, no. 12 (2018): 1071–84. http://dx.doi.org/10.2174/1389200218666170531111624.

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