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Journal articles on the topic 'Interrelationships'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Lee, Wen-Ting, Shin-Yuan Hung, and Patrick Y. K. Chau. "Influence of Knowledge Management Infrastructure on Innovative Business Processes and Market-Interrelationship Performance." Journal of Global Information Management 19, no. 2 (April 2011): 67–89. http://dx.doi.org/10.4018/jgim.2011040104.

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Knowledge management (KM) infrastructure is the foundation for managing and embodying valuable knowledge in firms. Based on the resource-based view (RBV) and process level analysis, this study investigates how KM infrastructure influences market interrelationship performance through innovative business processes. The study collected a sample of 126 hospitals in the Taiwanese healthcare industry. The results suggest that technological capability and cultural capability positively affect market interrelationships via innovative business processes. Cultural capability is associated with market interrelationship performance whereas structural capability is unrelated to innovative business processes. The findings advance understanding of the influence of KM infrastructure on market interrelationship performance as well as provide managerial insights on the influence of innovative business processes on market interrelationships performance.

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2

Park, Myoung, Ki Park, and Gyung Bahk. "Interrelationships between Multiple Climatic Factors and Incidence of Foodborne Diseases." International Journal of Environmental Research and Public Health 15, no. 11 (November 7, 2018): 2482. http://dx.doi.org/10.3390/ijerph15112482.

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Climatic factors can affect the incidence of foodborne diseases (FBDs). Moreover, microbial network inference is useful for predicting the interrelationships between the incidence of FBDs and climatic factors. However, the interrelationships between FBD pathogens and most climatic factors are unknown. Using principal component analysis (PCA) and partial correlation coefficient matrices (PCCMs), we determined the intra-ecosystem interrelationship network of the multiple combined effects of 5 climatic factors (temperature, relative humidity, rainfall, insolation, and cloudiness) and the monthly incidences of 12 bacterial FBDs. Many FBD pathogens are interrelated with multiple combined factors. Salmonellosis has strong positive interrelationships with Vibrio parahaemolyticus and enterohemorrhagic Escherichia coli, and the interrelationships between Staphylococcus aureus/enteropathogenic E. coli/enterotoxigenic E. coli exhibits a typical triangular pattern with the combined effects of all 5 climatic factors. Meanwhile, campylobacteriosis and Clostridium perfringens infections are negatively interrelated with insolation and cloudiness. Enteroinvasive E. coli, Bacillus cereus, Listeria spp., and Yersinia enterocolitica are significantly interrelated with any climatic factor combination. The interrelationships or higher-order interrelationships among these climatic factors play an important role in the incidence of FBDs, although the underlying mechanisms remain unclear. Our results will serve as a foundation for more sophisticated models of future FBD patterns with regard to climate change.

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3

Rotarius, Timothy, and Aaron Liberman. "Regional Interrelationships." Health Care Manager 35, no. 1 (2016): 9–20. http://dx.doi.org/10.1097/hcm.0000000000000095.

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4

Ruggles, Steven. "Family Interrelationships." Historical Methods: A Journal of Quantitative and Interdisciplinary History 28, no. 1 (January 1, 1995): 52–58. http://dx.doi.org/10.1080/01615440.1995.9955314.

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5

Kudo, Yasuo, and Tetsuya Murai. "Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 5 (September 20, 2016): 712–20. http://dx.doi.org/10.20965/jaciii.2016.p0712.

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Rough-set-based interrelationship mining enables to extract characteristics by comparing the values of the same object between different attributes. To apply this interrelationship mining to incomplete decision tables with null values, in this study, we discuss the treatment of null values in interrelationships between attributes. We introduce three types of null values for interrelated condition attributes and formulate a similarity relation by such attributes with these null values.

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6

Nelson, Joseph S., Melanie L. J. Stiassny, Lynne R. Parenti, and G. David Johnson. "Interrelationships of Fishes." Copeia 1997, no. 3 (August 1, 1997): 647. http://dx.doi.org/10.2307/1447582.

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7

Goujet, Daniel, and Gavin C. Young. "Interrelationships ofplacoderms revisited." Geobios 28 (January 1995): 89–95. http://dx.doi.org/10.1016/s0016-6995(95)80093-x.

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8

Meunier, François J., and Mireille Gayet. "Interrelationships of fishes." Geobios 30, no. 3 (January 1997): 446. http://dx.doi.org/10.1016/s0016-6995(97)80206-9.

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9

Qian, Shao-Zhen. "Gossypol-hypokalaemia interrelationships." International Journal of Andrology 8, no. 4 (August 1985): 313–24. http://dx.doi.org/10.1111/j.1365-2605.1985.tb00844.x.

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10

Meyer-Wachsmuth, Inga, and Ulf Jondelius. "Interrelationships of Nemertodermatida." Organisms Diversity & Evolution 16, no. 1 (October 15, 2015): 73–84. http://dx.doi.org/10.1007/s13127-015-0240-8.

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11

ZHANG, Lianying, Xi CHEN, and Yongqing SUO. "Interrelationships among critical factors of work flow reliability in lean construction." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 5 (May 24, 2017): 621–32. http://dx.doi.org/10.3846/13923730.2016.1217921.

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Work flow in lean construction has a significant influence on project performance. Uncertain work flow will lead to waste and reduce labor productivity. Reliable work flow will contribute to improving project performance. We found twenty variables affecting work flow reliability by literature review. In order to identify critical factors of work flow reliability and explore interrelationships among them, we designed a questionnaire to collect data, applied factor analysis to identifying critical factors, and put forward hypotheses on the basis of previous research and applied structural equation model (SEM) to exploring interrelationships among the critical factors of work flow. Final model confirmed nine hypotheses and denied three hypotheses. Besides, this paper discovered other interrelationship among the critical factors except for the hypotheses. The result of this research will help project managers understand work flow easily and take effective measures to improve work flow reliability, which will contribute to implement lean construction successfully.

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12

Martínez, Oscar Arista-Salado, José Arango Casado, María V. de la Cruz, Francisco Díaz, and Osiris Cubero. "Double outlet right ventricle—an echocardiographic study." Cardiology in the Young 3, no. 2 (April 1993): 124–31. http://dx.doi.org/10.1017/s1047951100001384.

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SummaryWe examined the echocardiograms of 40 patients with double oudet right ventricle, proven either at autopsy or during surgery. By way of the subcostal approach, it proved possible to determine the insertion of the outlet (infundibular) septum and to categorize the malformations within the classification proposed by de la Cruz and her colleagues. It was also possible to ascertain the relationships of the atrioventricular valves with one or with both infundibulums, and these features could be correlated with infundibular interrelationships. The interrelationship of the great arteries, in contrast, was not always in accordance with the infundibular interrelationships, indicating that the arterial interrelationship may not prove to be a good parameter for surgical decision-making. Of greatest importance was the visualization and echocardiographic appraisal of the spatial position and size of the ventriculoinfundibular fold, since this anatomic feature was the key to determining the optimal surgical approach. This is so because the ventriculoinfundibular fold constitutes one of the borders of the ventricular septal defect, and separates it from the plane of the leaflets of the arterial valves. Furthermore, the fold frequendy contributes to infundibular obstruction. Our echocardiographic studies, based on a better anatomic knowledge, permitted us to choose the most suitable surgical technique in our patients.

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13

Wu, Chen, Qi, Jiang, Gao, and Tseng. "Sustainable Development Performance for Small and Medium Enterprises Using a Fuzzy Synthetic Method-DEMATEL." Sustainability 11, no. 15 (July 30, 2019): 4119. http://dx.doi.org/10.3390/su11154119.

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Small and medium enterprises (SMEs) are forced to adhere to sustainable development (SD) regulations and standards. However, SMEs encounter difficulty in assessing their performance due to the lack of an efficient and effective approach to deal with the uncertainties in hierarchical relationships and interrelationships. Moreover, interrelations exist among the proposed attributes that increase the difficulty of the assessment. To overcome these issues, exploratory factor analysis is used to screen out the less important attributes and build a hierarchal structure. The fuzzy synthetic method addresses the hierarchical structure and decision-making, and a trial evaluation laboratory assesses the interrelationships among the attributes by providing a visual interrelationship map. The results indicate that strategic and financial management are the major problems for SMEs. SD relies on enhancing sustainable supply chain performance, sustainable human resources and environmental management. This study contributes by not only filling the information gap for SD for SMEs but also providing a guideline for improvement. The theoretical and managerial implications are discussed.

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14

Marak, Zericho, and Deepa Pillai. "Supply Chain Finance Factors: An Interpretive Structural Modeling Approach." Central European Management Journal 29, no. 1 (March 15, 2021): 88–111. http://dx.doi.org/10.7206/cemj.2658-0845.42.

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Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.

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15

Barger, Michael A., D. T. J. Littlewood, and R. A. Bray. "Interrelationships of the Platyhelminthes." Journal of Parasitology 87, no. 6 (December 2001): 1264. http://dx.doi.org/10.2307/3285286.

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16

Hsieh, Nigel C. T., Antsong Lin, and Peggy E. Swanson. "Global money market interrelationships." International Review of Economics & Finance 8, no. 1 (January 1999): 71–85. http://dx.doi.org/10.1016/s1059-0560(99)00006-4.

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17

SAUER, LEONARD A., and ROBERT T. DAUCHY. "Tumour-host metabolic interrelationships." Biochemical Society Transactions 18, no. 1 (February 1, 1990): 80–82. http://dx.doi.org/10.1042/bst0180080.

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18

MARKS, VINCENT, KIM S. TAN, JOHN I. STAGNER, and ELLIS SAMOLS. "Intra-islet cellular interrelationships." Biochemical Society Transactions 18, no. 1 (February 1, 1990): 103–4. http://dx.doi.org/10.1042/bst0180103.

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19

Tollefson, Gary D. "Serotonin and Alcohol: Interrelationships." Psychopathology 22, no. 1 (1989): 37–48. http://dx.doi.org/10.1159/000284625.

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20

Rieppel, Olivier, and Robert T. Zanon. "The interrelationships of Placodontia." Historical Biology 12, no. 3-4 (January 1997): 211–27. http://dx.doi.org/10.1080/08912969709386564.

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21

Kielan‐Jaworowska, Z. "Interrelationships of Mesozoic mammals." Historical Biology 6, no. 3 (May 1992): 185–201. http://dx.doi.org/10.1080/10292389209380427.

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22

Shane, B., and E. L. R. Stokstad. "Vitamin B12-Folate Interrelationships." Annual Review of Nutrition 5, no. 1 (July 1985): 115–41. http://dx.doi.org/10.1146/annurev.nu.05.070185.000555.

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23

Morais, Bernard G., and Brian W. Mar. "2.5.3 Product Development Interrelationships." INCOSE International Symposium 13, no. 1 (July 2003): 698–706. http://dx.doi.org/10.1002/j.2334-5837.2003.tb02651.x.

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24

Jette, A. M., S. F. Assmann, D. Rooks, B. A. Harris, and S. Crawford. "Interrelationships Among Disablement Concepts." Journals of Gerontology Series A: Biological Sciences and Medical Sciences 53A, no. 5 (September 1, 1998): M395—M404. http://dx.doi.org/10.1093/gerona/53a.5.m395.

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25

Casale, Thomas B., and Binita V. Amin. "Allergic Rhinitis/Asthma Interrelationships." Clinical Reviews in Allergy & Immunology 21, no. 1 (2001): 27–50. http://dx.doi.org/10.1385/criai:21:1:27.

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26

Blaskovics, Bálint. "The impact of project manager on project success — The case of ICT sector." Society and Economy 38, no. 2 (June 2016): 261–81. http://dx.doi.org/10.1556/204.2016.38.2.7.

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The project management literature on project success is rich. Numerous papers focus on the evolution of the understanding of project success, identification of success criteria and critical success factors. Critical success factors increase the potential for achieving project success, while project success can be evaluated with the help of success criteria. Although the interrelationships between critical success factors and success criteria are rarely analyzed, yet there is a strong demand for it. The aim of this paper is twofold. One of the aims is to identify the impact of one of the critical success factors, the project manager’s project management attitude on project success. The other aim is to highlight the interrelationship between the project manager’s personal characteristics and project management attitude and leadership style, which are three critical success factors. These aim to address the shortcoming mentioned above, which is considering the lack of the interrelationships between critical success factors and success criteria. The research outcomes are drawn from qualitative field research at the Hungarian subsidiaries of multinational companies operating in the ICT sector.

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27

Bremer, Kåre. "TRIBAL INTERRELATIONSHIPS OF THE ASTERACEAE." Cladistics 3, no. 3 (September 1987): 210–53. http://dx.doi.org/10.1111/j.1096-0031.1987.tb00509.x.

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28

Krugman, Stanley L. "Biotechnology and biodiversity — the interrelationships." Forestry Chronicle 68, no. 4 (August 1, 1992): 459–61. http://dx.doi.org/10.5558/tfc68459-4.

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Although the two current high profile scientific fields of biotechnology and biodiversity have extremely different scientific foundations and philosophies, they are still closely interrelated. Useful forest biotechnology is dependent on the availability and maintenance of a broad genetic foundation. Such a foundation is best achieved over time by maintaining the biological diversity of natural systems. In contrast, it is conceivable that with the release of genetically engineered organisms, natural biological diversity could be negatively impacted. The possibility of such an influence will be discussed. Finally, the politics of the relationship between these two emerging scientific fields will be briefly reviewed.

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29

Cosentino, M., Richard J. Martin, and Alan T. Marty. "CARDIOTHORACIC INTERRELATIONSHIPS IN CLINICAL PRACTICE." Chest 112, no. 2 (August 1997): A36. http://dx.doi.org/10.1016/s0012-3692(15)53060-2.

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30

Sereno, Paul C., and Stephen L. Brusatte. "Comparative Assessment of tyrannosaurid interrelationships." Journal of Systematic Palaeontology 7, no. 4 (December 2009): 455–70. http://dx.doi.org/10.1017/s1477201909990034.

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31

Bács, Zoltán. "Financial interrelationships of public warehousing." Acta Agraria Debreceniensis, no. 2 (September 7, 2001): 80–89. http://dx.doi.org/10.34101/actaagrar/2/3618.

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In my paper I examined the institutional and market connections warehouses use emphasising the role of financial institutions. I stressed that for the proper functioning of a warehouse the mutual trust of the economic participants is required. This presupposes a tight relationship between warehouses and banks, as banks have to accept warehouse warrants in such a manner that the credit suppliant can more readily access current assets credit.Today, we can say that the moneylender bank is strongly confident about deals involving warehouse credit. The amount of goods stored in warehouses is increasing. Warehouse deals offer better conditions to depositors, which can be explained by the fact that the creditor does not examine the management and credit standing of the depositor. Most important for them is that the goods provide enough collateral to ensure marketability, and that the warehouse storage conditions are proper. On the other hand, with the support of an interest subsidy system credit is obtainable at very auspicious conditions. To top it all off, and this is the most important aspect participants can receive access to funds unavailable to them in any other case.

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32

Kapoor, Anjali, Lalita Singhal, Saloni Kapoor, and Anirudh Kapoor. "Ortho-perio Interrelationships: An Overview." International Journal of Preventive and Clinical Dental Research 3, no. 3 (2016): 206–12. http://dx.doi.org/10.5005/jp-journals-10052-0045.

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33

Threlfall, E. J., and H. Chart. "Interrelationships between strains ofSalmonella enteritidis." Epidemiology and Infection 111, no. 1 (August 1993): 1–8. http://dx.doi.org/10.1017/s0950268800056612.

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34

Ratanapakorn, Orawan, and Subhash C. Sharma. "Interrelationships among regional stock indices." Review of Financial Economics 11, no. 2 (January 2002): 91–108. http://dx.doi.org/10.1016/s1059-0560(02)00103-x.

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35

Croissant, Ann B. "Films/Videos for Children Interrelationships." Childhood Education 73, no. 3 (March 1997): 189–90. http://dx.doi.org/10.1080/00094056.1997.10522688.

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36

GARDINER, B. G., and BOBB SCHAEFFER. "Interrelationships of lower actinopterygian fishes." Zoological Journal of the Linnean Society 97, no. 2 (October 1989): 135–87. http://dx.doi.org/10.1111/j.1096-3642.1989.tb00550.x.

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37

van Diest, A. "Principles of Soil-Plant Interrelationships." Soil Science 154, no. 5 (November 1992): 428. http://dx.doi.org/10.1097/00010694-199211000-00014.

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38

Van Cauter, E., and G. Copinschi. "Interrelationships between growthhormone and sleep." Growth Hormone & IGF Research 10 (April 2000): S57—S62. http://dx.doi.org/10.1016/s1096-6374(00)80011-8.

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39

Herberg, Lieselotte. "Interrelationships between obesity and diabetes." Proceedings of the Nutrition Society 50, no. 3 (December 1991): 605–18. http://dx.doi.org/10.1079/pns19910074.

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40

Ossadnik, Wolfgang. "Considering interrelationships in strategic decisions." European Accounting Review 7, no. 2 (July 1998): 315–21. http://dx.doi.org/10.1080/096381898336501.

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41

Bayne, Nicholas. "The G20: Evolution, Interrelationships, Documentation." Round Table 103, no. 5 (September 3, 2014): 524–25. http://dx.doi.org/10.1080/00358533.2014.966443.

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42

Correa, Ricardo Andres, Naiyong Jing, and David M. Lemal. "Interrelationships among C6F10 valence isomers." Journal of Organic Chemistry 58, no. 23 (November 1993): 6406–9. http://dx.doi.org/10.1021/jo00075a040.

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43

Eys, J. V. "Nutrition and Cancer: Physiological Interrelationships." Annual Review of Nutrition 5, no. 1 (July 1985): 435–61. http://dx.doi.org/10.1146/annurev.nu.05.070185.002251.

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44

Stein, Gary S., Andr� J. Van Wijnen, Martin Montecino, Janet L. Stein, and Jane B. Lian. "Nuclear structure/gene expression interrelationships." Journal of Cellular Physiology 181, no. 2 (November 1999): 240–50. http://dx.doi.org/10.1002/(sici)1097-4652(199911)181:2<240::aid-jcp6>3.0.co;2-k.

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45

Starkman, Monica N., John C. Marshall, John La Ferla, and Robert P. Kelch. "Pseudocyesis: Psychologic and Neuroendocrine Interrelationships." Psychosomatic Medicine 47, no. 1 (January 1985): 46–57. http://dx.doi.org/10.1097/00006842-198501000-00005.

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46

Friedman, Matt, and Martin Brazeau. "Placoderm muscles and chordate interrelationships." Biology Letters 4, no. 1 (December 4, 2007): 103. http://dx.doi.org/10.1098/rsbl.2007.0358.

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47

RANDALL, DONNA M., and JOSEPH A. COTE. "Interrelationships of Work Commitment Constructs." Work and Occupations 18, no. 2 (May 1991): 194–211. http://dx.doi.org/10.1177/0730888491018002004.

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48

Keivany, Y., and J. S. Nelson. "Interrelationships of Gasterosteiformes (Actinopterygii, Percomorpha)." Journal of Ichthyology 46, S1 (December 2006): S84—S96. http://dx.doi.org/10.1134/s0032945206100055.

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49

Masterson, Julie J. "Interrelationships in Childrenʼs Language Production." Topics in Language Disorders 17, no. 4 (August 1997): 11–22. http://dx.doi.org/10.1097/00011363-199708000-00004.

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50

Paloutzian, Raymond F., and Aris S. Janigian. "Interrelationships Between Religiousness and Loneliness." Psychotherapy Patient 2, no. 3 (August 19, 1986): 3–14. http://dx.doi.org/10.1300/j358v02n03_02.

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