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Journal articles on the topic 'A Frequent'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Berns, Jeffrey S., and Laura M. Dember. "Can Frequent Hemodialysis Be Too Frequent?" Journal of the American Society of Nephrology 24, no. 3 (2013): 334–36. http://dx.doi.org/10.1681/asn.2013010007.

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2

Stattner, Erick, and Martine Collard. "From Frequent Features to Frequent Social Links." International Journal of Information System Modeling and Design 4, no. 3 (2013): 76–98. http://dx.doi.org/10.4018/jismd.2013070104.

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Standard data mining techniques have been applied and adapted for eliciting knowledge from social networks, by achieving classical tasks such as classification, search for frequent patterns or link prediction. Most works have exploited only the network topological structure, and therefore cannot be used to answer questions involving nodes features. For instance, the frequent pattern discovery task generally refers to the search for sub-networks frequently found in a single network or in a set of networks. In the same area, this paper focuses on the concept of frequent link that stands as a reg

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3

Chaoui, R. "Dermatofibroma Frequent Disease, Uncommon Location." Clinical Medical Reviews and Reports 2, no. 01 (2020): 01–02. http://dx.doi.org/10.31579/2690-8794/003.

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Dermatofibroma (DF) is a very common benign tumor, which occurs most often in middle-aged women. In general, DF presents as a solitary lesion on the extremities, shoulders or buttock, which occasionally develops following minor trauma or an insect bite. We describe a case of dermatofibroma involving the dorsum of right hand.

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4

Shanmugam, N., T. P. Chua, and D. Ward. "‘Frequent’ ventricular bigeminy - A reversible cause of dilated cardiomyopathy. How frequent is ‘frequent’?" European Journal of Heart Failure 8, no. 8 (2006): 869–73. http://dx.doi.org/10.1016/j.ejheart.2006.02.011.

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5

Archilles, Wendy, Jennifer Blaskovich, and Terence Pitre. "Corporate governance and reporting frequency: Hazards of more frequent reporting." Corporate Ownership and Control 6, no. 2 (2008): 298–303. http://dx.doi.org/10.22495/cocv6i2c2p4.

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There has been little research that has examined any of the possible consequences of frequent financial reporting. In this paper, we discuss and provide theoretical explanations for two negative consequences associated with more frequent reporting. Based on search from psychology and sociology we theorize how more frequent reporting can lead to (1) goal seeking behavior by managers, (2) inaccurate predictions from investors (3) higher dispersion of investor beliefs and (4) higher uncertainty of investor beliefs

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6

Ford, Marilyn Chandler. "Frequent Fliers." Californian Journal of Health Promotion 3, no. 2 (2005): 61–71. http://dx.doi.org/10.32398/cjhp.v3i2.1764.

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Jail practitioners are very familiar with a small, but very active group of minor offenders that cycle through local correctional institutions on a regular basis. These offenders have received comparatively little scrutiny from jail scholars, and this study responds to this gap in the literature by examining the legal and social characteristics of a group of Florida jail offenders that has been labeled frequent fliers. This exploratory study examines the characteristics of these high-demand users and their involvement in local justice systems. The findings reveal that a small group of jail inm

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7

Crundell, Andrew. "Frequent attenders." Morecambe Bay Medical Journal 7, no. 6 (2016): 144–50. http://dx.doi.org/10.48037/mbmj.v7i6.139.

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8

Arnold, V. "Frequent Representations." Moscow Mathematical Journal 3, no. 4 (2003): 1209–21. http://dx.doi.org/10.17323/1609-4514-2003-3-4-1209-1221.

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9

Leary, J. E. "Frequent Losers." Minnesota Review 2006, no. 65-66 (2006): 37–48. http://dx.doi.org/10.1215/00265667-2006-65-66-37.

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10

Veysman, B. "Frequent Flier." Academic Emergency Medicine 13, no. 2 (2006): 172–73. http://dx.doi.org/10.1197/j.aem.2005.10.001.

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11

Caddy, R. S., and Philip Newbold. "Frequent error." Physics World 6, no. 1 (1993): 20. http://dx.doi.org/10.1088/2058-7058/6/1/16.

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12

Knutson, Bonnie J. "Frequent Travelers." Cornell Hotel and Restaurant Administration Quarterly 29, no. 1 (1988): 82–87. http://dx.doi.org/10.1177/001088048802900121.

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13

Cooper, Mark. "Frequent attenders." Emergency Nurse 19, no. 6 (2011): 15–21. http://dx.doi.org/10.7748/en.19.6.15.s10.

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14

Shannon, Robin Adair, Martha Dewey Bergren, and Alicia Matthews. "Frequent Visitors." Journal of School Nursing 26, no. 3 (2010): 169–82. http://dx.doi.org/10.1177/1059840509356777.

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15

McMahon, Ted. "Frequent Urination." Archives of Pediatrics & Adolescent Medicine 158, no. 7 (2004): 670. http://dx.doi.org/10.1001/archpedi.158.7.670.

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16

Anh Nguyen, Viet, and Akihiro Yamamoto. "Mining of closed frequent subtrees from frequently updated databases." Intelligent Data Analysis 16, no. 6 (2012): 953–67. http://dx.doi.org/10.3233/ida-2012-00561.

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17

Spahn, Donat R. "Hypocalcemia in trauma: Frequent but frequently undetected and underestimated*." Critical Care Medicine 33, no. 9 (2005): 2124–25. http://dx.doi.org/10.1097/01.ccm.0000174479.32054.3d.

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18

Park, Gwoncheol, Seongok Kim, WonJune Lee, Gyungcheon Kim, and Hakdong Shin. "Deciphering the Impact of Defecation Frequency on Gut Microbiome Composition and Diversity." International Journal of Molecular Sciences 25, no. 9 (2024): 4657. http://dx.doi.org/10.3390/ijms25094657.

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This study explores the impact of defecation frequency on the gut microbiome structure by analyzing fecal samples from individuals categorized by defecation frequency: infrequent (1–3 times/week, n = 4), mid-frequent (4–6 times/week, n = 7), and frequent (daily, n = 9). Utilizing 16S rRNA gene-based sequencing and LC-MS/MS metabolome profiling, significant differences in microbial diversity and community structures among the groups were observed. The infrequent group showed higher microbial diversity, with community structures significantly varying with defecation frequency, a pattern consiste

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19

Westbrook, Johanna I. "Interruptions to Clinical Work: How Frequent Is Too Frequent?" Journal of Graduate Medical Education 5, no. 2 (2013): 337–39. http://dx.doi.org/10.4300/jgme-d-13-00076.1.

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20

V. Senthil Kumar, A., and R. S.D. Wahidabanu. "Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach." ITB Journal of Information and Communication Technology 1, no. 1 (2007): 42–55. http://dx.doi.org/10.5614/itbj.ict.2007.1.1.4.

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21

Menet, Quentin. "A bridge between U-frequent hypercyclicity and frequent hypercyclicity." Journal of Mathematical Analysis and Applications 482, no. 2 (2020): 123569. http://dx.doi.org/10.1016/j.jmaa.2019.123569.

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22

Mouilso, Emily R., Sarah Fischer, and Karen S. Calhoun. "A Prospective Study of Sexual Assault and Alcohol Use Among First-Year College Women." Violence and Victims 27, no. 1 (2012): 78–94. http://dx.doi.org/10.1891/0886-6708.27.1.78.

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This study prospectively examined the relation between alcohol use and sexual assault in a sample (N = 319) of first-year college women. Both frequency of drinking and frequency of binge drinking were measured. Over the course of their freshman year, 19.3% reported experiencing at least one sexual assault. Frequent binge drinking and frequent drinking predicted a subsequent sexual assault; however, experiencing a sexual assault did not predict changes in alcohol use. Frequent binge drinking demonstrated a stronger association with sexual assault than did frequent drinking. Findings help clarif

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23

Green, William R. "The Natural Frequency: More Natural and More Frequent than Expected." College Mathematics Journal 51, no. 5 (2020): 372–74. http://dx.doi.org/10.1080/07468342.2020.1811045.

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24

Tusień, Ewa, Alicja Kwaśniewska, and Paweł Weichbroth. "Mining Frequent Sequences with Time Constraints from High-Frequency Data." International Journal of Financial Studies 13, no. 2 (2025): 55. https://doi.org/10.3390/ijfs13020055.

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Investing in the stock market has always been an exciting topic for people. Many specialists have tried to develop tools to predict future stock prices in order to make high profits and avoid big losses. However, predicting prices based on the dynamic characteristics of stocks seems to be a non-trivial problem. In practice, the predictive models are not expected to provide the most accurate forecasts of stock prices, but to highlight changes and discrepancies between the predicted and observed values, to warn against threats, and to inform users about upcoming opportunities. In this paper, we

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25

Xin, Dai, and Hao Xue. "EFFICIENT FREQUENT ITEMSET DISCOVERY THROUGH HIERARCHICAL HUFFMAN ENCODING." ICTACT Journal on Soft Computing 15, no. 4 (2025): 3682–87. https://doi.org/10.21917/ijsc.2025.0510.

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Frequent itemsets mining holds a crucial position in the field of data mining; however, traditional algorithms like Apriori and FP-Growth often encounter efficiency and memory consumption issues when handling large-scale datasets, which not only makes them difficult to cope with dynamic dataset changes in some situations but also limits their widespread use in practical applications. Therefore, a novel DTFIMA (Dynamic Tiered Frequent Itemset Mining Algorithm,) algorithm is proposed in this paper to address optimization problems related to the storage and searching process of frequent itemsets

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26

Nakachi, Satoshi, Souichi Nakajima, Masaru Oyakawa, and Kouichi Nagamine. "Frequent Missed Fractures." Orthopedics & Traumatology 44, no. 4 (1995): 1296–98. http://dx.doi.org/10.5035/nishiseisai.44.1296.

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27

Smits, Frans, Henk Brouwer, and Gerben ter Riet. "Persistent frequent attenders." British Journal of General Practice 60, no. 573 (2010): 293.3–294. http://dx.doi.org/10.3399/bjgp10x484002.

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28

Casper, Edward S., and James R. Regan. "Frequent-User Subgroups." Psychiatric Services 43, no. 1 (1992): 83. http://dx.doi.org/10.1176/ps.43.1.83.

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29

Mutreja, Ankur. "Bacterial frequent flyers." Nature Reviews Microbiology 10, no. 11 (2012): 734. http://dx.doi.org/10.1038/nrmicro2899.

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30

Lawmaster, Susan, and David W. Stewart. "Frequent Shopper Programs." Journal of Promotion Management 1, no. 1 (1992): 55–76. http://dx.doi.org/10.1300/j057v01n01_05.

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31

Chapman, Randall G. "Frequent Buyer Programs." J. of Business and Management 1, no. 1 (1993): 22–40. http://dx.doi.org/10.1504/jbm.1993.140989.

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32

Martland, Rebecca. "Your frequent questions." Child Care 15, no. 8 (2018): 2–3. http://dx.doi.org/10.12968/chca.2018.15.8.2.

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33

McCarty, Rachelle L., Julie Zarn, Robin Fenn, and Ruth D. G. Collins. "Frequent ED utilizers." Nursing Management (Springhouse) 46, no. 9 (2015): 24–31. http://dx.doi.org/10.1097/01.numa.0000470771.17731.3d.

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34

Liu, Yu, Han-Zhu Qian, Yuhua Ruan, et al. "Frequent HIV Testing." JAIDS Journal of Acquired Immune Deficiency Syndromes 72, no. 4 (2016): 452–61. http://dx.doi.org/10.1097/qai.0000000000001001.

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35

Hunt, Summer. "Frequent Urination Treatment." Nursing for Women's Health 21, no. 3 (2017): 159. http://dx.doi.org/10.1016/s1751-4851(17)30138-1.

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36

Cook, Alan. "More frequent issues." Notes and Records of the Royal Society of London 53, no. 1 (1999): 1–2. http://dx.doi.org/10.1098/rsnr.1999.0059.

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37

Berenbaum, May. "Frequent flyer miles." American Entomologist 56, no. 1 (2010): 4–5. http://dx.doi.org/10.1093/ae/56.1.4.

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38

Williams, Susan, Alex Bottle, Raquel Rogers, and Paul Aylin. "“Frequent flier” patients." BMJ 330, no. 7496 (2005): 869. http://dx.doi.org/10.1136/bmj.330.7496.869.

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39

Grody, Jane. "Frequent-Flyer Syndromie." Cornell Hotel and Restaurant Administration Quarterly 26, no. 2 (1985): 14–15. http://dx.doi.org/10.1177/001088048502600206.

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40

Toh, Rex S., Mary-Jean Rivers,, and Glenn Withiam. "Frequent-Guest Programs." Cornell Hotel and Restaurant Administration Quarterly 32, no. 2 (1991): 46–52. http://dx.doi.org/10.1177/001088049103200216.

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41

Neal, RD. "Correspondence Frequent attenders." Family Practice 12, no. 3 (1995): 370. http://dx.doi.org/10.1093/fampra/12.3.370.

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42

Dufour, Michel. "Are Fallacies Frequent ?" Informal Logic 43, no. 3 (2023): 369–416. http://dx.doi.org/10.22329/il.v43i3.7124.

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This paper provides methodological tools and considers the reasons why it is difficult to address the controversial question, “Are fallacies frequent?” After preliminary remarks on the need to clarify the meaning of both ‘fallacy’ and ‘frequency,’ this paper shows that the emphasis on whether fallacies occur frequently is recent and bound to contemporary definitions that make it a necessary condition. Then, it discusses three different, debated empirical approaches that are intended to support the claim that fallacies are frequent. All of them raise doubts or objections or are even controversi

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43

Lee, Dan-Young, Hyoung-Geun An, and Jae-Jin Koh. "An Extended Frequent Pattern Tree for Hiding Sensitive Frequent Itemsets." KIPS Transactions:PartD 18D, no. 3 (2011): 169–78. http://dx.doi.org/10.3745/kipstd.2011.18d.3.169.

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44

Nair, Jyothisha J., and Susanna Thomas. "Improvised Apriori with frequent subgraph tree for extracting frequent subgraphs." Journal of Intelligent & Fuzzy Systems 32, no. 4 (2017): 3209–19. http://dx.doi.org/10.3233/jifs-169264.

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45

Dhillon, Sabrina K., and John F. Butterworth. "Does Less Frequent Mention in Publications Indicate Less Frequent Use?" Journal of Anesthesia History 2, no. 3 (2016): 71–72. http://dx.doi.org/10.1016/j.janh.2016.06.001.

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46

Townsend, Malcolm, Thanh Le Quoc, Gaurav Kapoor, Hao Hu, Wei Zhou, and Selwyn Piramuthu. "Real-Time business data acquisition: How frequent is frequent enough?" Information & Management 55, no. 4 (2018): 422–29. http://dx.doi.org/10.1016/j.im.2017.10.002.

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47

Elrggal, Mohamed E. "How frequent is frequent? Rethinking monitoring intervals in glomerular disease." Kidney International 107, no. 6 (2025): 1111–12. https://doi.org/10.1016/j.kint.2025.02.007.

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48

Martínez-Morán, Cristina, Begoña Echeverría-García, Susana Córdoba, and Jesús Borbujo. "Short Report: 10 Frequent Diagnosis in Dermatology." Dermatology and Dermatitis 2, no. 2 (2018): 01–08. http://dx.doi.org/10.31579/2578-8949/025.

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We present the more relevant aspects of the 10 most frequent dermatologic diagnostics: acne, fibroepithelial polyps, atopic dermatitis, seborrheic dermatitis, molluscum contagiosum, melanocytic nevi, psoriasis, actinic keratosis, seborrheic keratosis and viral warts. We describe their pathogenesis, clinical features, their management and preventive actions to avoid the progression of the conditions.

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49

Guruleva, T. L., and A. R. Abdrakhmanova. "Hieroglyphic valence and frequency as typological characteristics of Chinese hieroglyphic writing." Vestnik of Samara University. History, pedagogics, philology 30, no. 2 (2024): 142–49. http://dx.doi.org/10.18287/2542-0445-2024-30-2-142-149.

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The article is devoted to the study of such typological characteristics of Chinese writing as character valence and frequency. The aim of the study is to establish the average hieroglyphic valence of one hundred most and one hundred least frequent characters and to reveal the dependence of hieroglyphic valence on character frequency. To quantitatively characterize Chinese characters, the method of quantitative counting (solid counting method, counting method) of characters from the data of paper and electronic dictionaries was used. Using the method of automated information extraction from Chi

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50

Stemberger, Joseph Paul. "Frequency determines defaults in German: Default perfect -t versus irregular plural -s." Behavioral and Brain Sciences 22, no. 6 (1999): 1040–41. http://dx.doi.org/10.1017/s0140525x99502227.

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The German facts are consistent with the hypothesis that the default is the most frequent allomorph. Plural -s is the least frequent allomorph and does not act as a default. There is another way to measure the frequency of perfects in which no single -n allomorph is as frequent as -t. Lexical versus computational components do not correlate with regularity.

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