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Journal articles on the topic 'Complex problems'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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1

Elser, Arthur G. "Complex problems." ACM SIGDOC Asterisk Journal of Computer Documentation 21, no. 1 (February 15, 1997): 19–22. http://dx.doi.org/10.1145/250982.250988.

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2

Modi, Simon, and Allan C. Skanes. "Complex problems require complex solutions … but may result in other complex problems." Heart Rhythm 8, no. 11 (November 2011): 1667–68. http://dx.doi.org/10.1016/j.hrthm.2011.06.015.

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3

Hodges, K. V. "Solving Complex Problems." Science 338, no. 6111 (November 29, 2012): 1164–65. http://dx.doi.org/10.1126/science.1215228.

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4

Dufresne, Craig R., Benjamin S. Carson, and S. James Zinreich. "Complex Craniofacial Problems." Annals of Plastic Surgery 30, no. 6 (June 1993): A—7. http://dx.doi.org/10.1097/00000637-199306000-00029.

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5

Habal, Mutaz B. "Complex Craniofacial Problems." Plastic and Reconstructive Surgery 92, no. 4 (September 1993): 759–60. http://dx.doi.org/10.1097/00006534-199309001-00036.

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6

Hamby, Anne, Meghan Pierce, and David Brinberg. "Solving Complex Problems." Journal of Macromarketing 37, no. 4 (August 12, 2016): 369–80. http://dx.doi.org/10.1177/0276146716663797.

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Three distinct literatures address social change: social entrepreneurship, community action research, and social marketing. While these activities have a shared goal to create social change, each orientation approaches their activities from a different perspective. The current work explores how macro-social marketing efforts can benefit from alternative orientations to enhance enduring social change. Social entrepreneurship highlights the importance of enduring resources and considering scalability. Community action highlights the importance of obtaining legitimacy and buy-in from multiple entities in the social change system. Social marketing highlights the importance of an end-user perspective and the application of behavioral theories to create systematic change. This work describes a case study in the Kenyan education context to highlight the value of this approach.
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7

Mumford, E. "Problems, knowledge, solutions: solving complex problems." Journal of Strategic Information Systems 7, no. 4 (December 1998): 255–69. http://dx.doi.org/10.1016/s0963-8687(99)00003-7.

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8

Bjerge, Bagga, Louise Christensen, and Jeppe Oute. "Complex cases – Complex representations of problems." International Journal of Drug Policy 80 (June 2020): 102563. http://dx.doi.org/10.1016/j.drugpo.2019.09.011.

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9

Salagre, Estela, and Eduard Vieta. "Precision psychiatry: Complex problems require complex solutions." European Neuropsychopharmacology 52 (November 2021): 94–95. http://dx.doi.org/10.1016/j.euroneuro.2021.07.003.

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10

Bienenfeld, Sheila, and Joan Busfield. "Complex Problems, Simple Solutions." Women's Review of Books 14, no. 5 (February 1997): 11. http://dx.doi.org/10.2307/4022534.

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11

Alexanian, G., R. MacKenzie, M. B. Paranjape, and Jonathan Ruel. "Problems with complex actions." Canadian Journal of Physics 85, no. 6 (June 1, 2007): 699–705. http://dx.doi.org/10.1139/p07-064.

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We consider Euclidean functional integrals involving actions that are not exclusively real. This situation arises, for example, when there are t-odd terms in the the Minkowski action. Writing the action in terms of only real fields (which is always possible), such terms appear as explicitly imaginary terms in the Euclidean action. The usual quanization procedure that involves finding the critical points of the action and then quantizing the spectrum of fluctuations about these critical points fails. In the case of complex actions, there do not exist, in general, any critical points of the action on the space of real fields, the critical points are in general complex. The proper definition of the function integral then requires the analytic continuation of the functional integration into the space of complex fields so as to pass through the complex critical points according to the method of steepest descent. We show a simple example where this procedure can be carried out explicitly. The procedure of finding the critical points of the real part of the action and quantizing the corresponding fluctuations, treating the (exponential of the) complex part of the action as a bounded integrable function is shown to fail in our explicit example, at least perturbatively. PACS Nos.: 11.10.–z, 03.70.+k
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12

Carvalho, Hamilton Coimbra, and Jose Afonso Mazzon. "Embracing complex social problems." Journal of Social Marketing 10, no. 1 (September 18, 2019): 54–80. http://dx.doi.org/10.1108/jsocm-03-2019-0049.

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Purpose This paper aims to expose the inadequacy of social marketing to tackle complex social problems, while proposing an expansion in the discipline’ conceptual repertoire. The goal is to incorporate complexity tools, in particular from the system dynamics field, and the promotion of mindware within a true transdisciplinary paradigm. Design/methodology/approach This paper uses literature review to support the proposed theoretical development. It also presents a short case study. Findings Most problems that plague our modern societies have a distinctive complex nature that is not amenable to traditional social marketing interventions. Social marketing has simplified the problem of bringing about societal change by thinking that upstream social actors can be influenced in the same way as downstream individuals. This paper shows that this is not the case while proposing a framework to close this gap. Research limitations/implications The proposed framework is a theoretical one. It depends on further refinements and actual application to wicked problems. Practical implications Complex social problems – or wicked problems – remain widespread in modern societies. Moreover, they are getting worse over time. The paper presents a proposal to redefine the limits of the social marketing discipline so it can be more useful to tackle such problems. Practical approaches such as measuring the success of mindware in the marketplace of ideas are implied in the proposed framework. Social implications The increase in complexity of social problems has not been accompanied by an evolution in the discipline of social marketing. The lack of proper conceptual tools has prevented the discipline from contributing to tackling these problems effectively. Some interventions may actually worsen the underlying problems, as illustrated in the paper. Originality/value This paper identifies two major gaps associated with the social marketing discipline, in particular the lack of complexity and systems thinking and the forsaking of ideas (mindware) as a legitimate goal of the discipline. This realization corroborates the claim that boundaries among disciplines are often artificial, hindering the proper understanding of complex social problems. In turn, only the use of adequate conceptual lenses makes it possible to devise interventions and programs that tackle actual causes (instead of symptoms) of complex social problems.
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13

Omachonu, Vincent. "Dealing with Complex Management Problems." Open Journal of Business and Management 02, no. 01 (2014): 2. http://dx.doi.org/10.4236/ojbm.2014.21002.

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14

Lipovetsky, Stan, and Alexander Topchishvili. "Statistical Estimations in Complex Problems." Model Assisted Statistics and Applications 9, no. 3 (June 20, 2014): 179–80. http://dx.doi.org/10.3233/mas-140290.

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15

Wang, Zidong, Jinling Liang, and Yurong Liu. "Mathematical Problems for Complex Networks." Mathematical Problems in Engineering 2012 (2012): 1–5. http://dx.doi.org/10.1155/2012/934680.

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16

Gowers, Timothy. "The roots of complex problems." Nature 446, no. 7131 (February 28, 2007): 26. http://dx.doi.org/10.1038/446026a.

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17

Brannan, D. A., and W. K. Hayman. "Research Problems in Complex Analysis." Bulletin of the London Mathematical Society 21, no. 1 (January 1989): 1–35. http://dx.doi.org/10.1112/blms/21.1.1.

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18

Baty, Steve. "Solving complex problems through design." Interactions 17, no. 5 (September 2010): 70–73. http://dx.doi.org/10.1145/1836216.1836235.

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19

Cannao, M., G. Moretti, and A. Ricci. "Complex visual problems in childhood." Neuro-Ophthalmology 6, no. 5 (January 1986): 321–27. http://dx.doi.org/10.3109/01658108609053876.

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20

Jiang, Haijun, Haibo He, Jianlong Qiu, Qiankun Song, and Jianquan Lu. "Mathematical Problems for Complex Systems." Scientific World Journal 2015 (2015): 1–2. http://dx.doi.org/10.1155/2015/605172.

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21

SINGH, HARINDER. "SIMPLE SOLUTIONS TO COMPLEX PROBLEMS." Medical Journal Armed Forces India 55, no. 3 (July 1999): 276. http://dx.doi.org/10.1016/s0377-1237(17)30470-7.

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22

Czinki, Alexander, and Claudia Hentschel. "Solving Complex Problems and TRIZ." Procedia CIRP 39 (2016): 27–32. http://dx.doi.org/10.1016/j.procir.2016.01.161.

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23

Kerner, W. "Large-scale complex eigenvalue problems." Journal of Computational Physics 85, no. 1 (November 1989): 1–85. http://dx.doi.org/10.1016/0021-9991(89)90200-3.

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24

Ogden, Sandra A., and Kimberley A. Williams. "Selecting solutions for complex problems." Performance Improvement 46, no. 4 (2007): 16–23. http://dx.doi.org/10.1002/pfi.120.

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25

ROSSER Jr., J. BARKLEY. "Forestry Complex Dynamics and Policy Problems." Studies in Regional Science 34, no. 2 (2004): 3–17. http://dx.doi.org/10.2457/srs.34.2_3.

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26

Calisher, Charles H. "Simple-minded solutions to complex problems." Croatian Medical Journal 63, no. 4 (August 2022): 399–401. http://dx.doi.org/10.3325/cmj.2022.63.399.

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27

Harvey, Mark. "81.36 Locus Problems with Complex Numbers." Mathematical Gazette 81, no. 491 (July 1997): 286. http://dx.doi.org/10.2307/3619216.

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28

Baker, A. C., and B. Gelbaum. "Problems in Real and Complex Analysis." Mathematical Gazette 77, no. 479 (July 1993): 282. http://dx.doi.org/10.2307/3619750.

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29

Lord, Nick, and Rami Shakarchi. "Problems and Solutions for Complex Analysis." Mathematical Gazette 84, no. 500 (July 2000): 357. http://dx.doi.org/10.2307/3621714.

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30

Arynov, K. K., and A. S. Nurgay. "PROBLEMS OF DESIGN OF AGRICULTURAL COMPLEX." Bulletin of Kazakh Leading Academy of Architecture and Construction 82, no. 4 (December 14, 2021): 15–23. http://dx.doi.org/10.51488/1680-080x/2021.4-12.

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This article is devoted to the study of the experience of designing domestic and foreign agricultural facilities, the prospective development of the architecture of a suburban multifunctional agricultural complex for the cultivation, storage, processing and sale of agricultural products in Kazakhstan. As a result of a comprehensive study, architectural proposals were developed and functional zones were determined: a recreation area, greenhouses, a residential area, a landscape area, a recreational-type settlement (tourism, recreation and hunting) and a trade and fair zone.
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31

Zhuravleva, Lyudmila Anatol'evna. "Agroindustrial complex: problems and instigating trends." Сельское хозяйство, no. 1 (January 2021): 22–28. http://dx.doi.org/10.7256/2453-8809.2021.1.36191.

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The article analyzes the current problems, functional strategies and instigating trends of the agroindustrial complex. The author describes the possible ways of solving problems and considers the prospects for the development of small-scale enterprises based on the existing government support programs for rural areas. Among the most acute problems for the successful development of farms, the author identifies the following groups of problems: 1. Economic problems: rising prices for fuels and lubricants; the volatility of the ruble exchange rate; the constant increase in tariffs for gas, electricity, fertilizers, machinery for agricultural production; the disproportion of prices of products and resources spent on their production; the lack of long-term supportive programs of preferential lending and leasing services; low level of innovation and investment activity; low level of solvency of the population; unsatisfactory state of telephone and Internet communications, roads and transport links; monopolization of sales markets by large agricultural holdings; insufficient development of marketing and logistics issues; weak image advertising of farm products and the lack of integrated marketing communications, which reduce the profitability and profitability of agricultural production. 2. Technological problems: technical and technological lagging behind the developed countries; low technological efficiency of agricultural production of peasant farms; a high degree of deterioration of the equipment and machinery. 3. Ecological problems: industrial and agricultural enterprises impacting on the environment; the inrease in land fertility; the use of pesticides leading to soil and water pollution; the lack of effective control over the quality and safety of food. 4. Social problems of rural areas: the lack of educational institutions with educational services of high quality and developed infrastructure; the lack of jobs for the adult population and youth's low interest in farming as a way of life; domestic problems. 
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32

Bystrakov, Iu. "Ecological Problems of the Agroindustrial Complex." Problems in Economics 28, no. 2 (June 1985): 50–64. http://dx.doi.org/10.2753/pet1061-1991280250.

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33

Fujinuma, Yasuki. "Complex Health Problems in Primary Care." Nihon Naika Gakkai Zasshi 103, no. 10 (2014): 2603–8. http://dx.doi.org/10.2169/naika.103.2603.

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34

Stenius, Kerstin. "Complex Problems and Treatment System Reforms." Nordic Studies on Alcohol and Drugs 31, no. 1 (February 2014): 3–4. http://dx.doi.org/10.2478/nsad-2014-0001.

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35

Sukhov, Alexandre, and Alexander Tumanov. "Boundary value problems andJ-complex curves." Complex Variables and Elliptic Equations 58, no. 11 (November 2013): 1549–57. http://dx.doi.org/10.1080/17476933.2011.593262.

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36

Gonçalves, Duarte. "Understanding Actors in Complex Security Problems." International Journal of Strategic Decision Sciences 9, no. 2 (April 2018): 1–18. http://dx.doi.org/10.4018/ijsds.2018040101.

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This article arose while working on the rhino poaching problem in South Africa and having to deal with the large number of stakeholders and complexity. The purpose of actor modelling is to develop a deeper understanding of how stakeholders and threats contribute to the complex security problems. This article is the author's reflection on two different attempts at modelling actors in the rhino problem. A framework is developed and a number of issues are raised with respect to actor modelling: First, values and perspectives are driven by actor needs. The knowledge acquired by actors is determined by perspectives. With a diversity of actors, there is a “fragmentation of perspective” that hampers addressing the problem. Thus, dealing with fragmentation of perspective, requires an approach that is inclusive of actors and different ways of knowing. The validity of actor modelling is limited by what can be determined about the values and interests of actors and this varies across actors. Second, actors have multiple identifications with multiple levels of relationality. For high levels of identification combined with low levels of relationality, there is a challenge for a researcher to understand actor behaviour. Third, actors operate in an autonomy-heteronomy space. This is not a continuum, but both autonomy and heteronomy experienced at the same time. When actors are autonomous they live out their values and interests and are most creative. When creativity is applied, there are many ways (what) of satisfying interests and living out values (why), but actors do not behave randomly. Under autonomy, understanding motivation (why) is more important than what because why is more stable and what cannot be predicted. Actors are dynamic, non-deterministic and non-linear. Fourth, the model represents not only structure but also motivation or purpose and resources; thus, addressing certain aspects of subjective and objective fragmentation. Based on the argument advanced in the paper, the sources of actor complexity leading to novel emerging behaviour in social systems are actor needs and the corresponding values and perspectives, high levels of identification with low levels of relationality and autonomy.
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37

Ali, Sajid, Fazal M. Mahomed, and Asghar Qadir. "Complex Lie Symmetries for Variational Problems." Journal of Nonlinear Mathematical Physics 15, sup1 (January 2008): 25–35. http://dx.doi.org/10.2991/jnmp.2008.15.s1.2.

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38

Uchikoshi, Keisuke. "Complex Cauchy Problems with Intersecting Singularities." Communications in Partial Differential Equations 31, no. 5 (June 2006): 689–700. http://dx.doi.org/10.1080/03605300600635095.

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39

Polyakov, E. V. "Problems of Describing Complex Sorption Equilibria." Radiochemistry 60, no. 2 (March 2018): 177–85. http://dx.doi.org/10.1134/s106636221802008x.

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40

Boyd, Chad S., and Tony J. Svejcar. "Managing Complex Problems in Rangeland Ecosystems." Rangeland Ecology & Management 62, no. 6 (November 2009): 491–99. http://dx.doi.org/10.2111/08-194.1.

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41

Radziwill, Nicole M. "Solving Complex Industrial Problems Without Statistics." Quality Management Journal 23, no. 4 (January 2016): 51. http://dx.doi.org/10.1080/10686967.2016.11918490.

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42

DeTombe, Dorien J. "Methodology for Handling Complex Societal Problems." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 68, no. 1 (October 2000): 51–52. http://dx.doi.org/10.1177/075910630006800121.

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43

Atmanspacher, Harald, and Gerda Wiedenmann. "Some Basic Problems with Complex Systems." IFAC Proceedings Volumes 31, no. 20 (July 1998): 1059–66. http://dx.doi.org/10.1016/s1474-6670(17)41939-2.

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44

Vinaja, Roberto. "Dependability Problems of Complex Information Systems." Journal of Global Information Technology Management 17, no. 4 (October 2, 2014): 289–91. http://dx.doi.org/10.1080/1097198x.2014.982452.

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45

Shao, Jun. "$L$-Statistics in Complex Survey Problems." Annals of Statistics 22, no. 2 (June 1994): 946–67. http://dx.doi.org/10.1214/aos/1176325505.

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46

Brucker, P., and J. Hurink. "Complex Sequencing Problems in Flexible Manufacturing." IFAC Proceedings Volumes 26, no. 2 (July 1993): 489–92. http://dx.doi.org/10.1016/s1474-6670(17)48516-8.

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47

DeTombe, Dorien J. "Methodology for handling complex societal problems." European Journal of Operational Research 128, no. 2 (January 2001): 227–30. http://dx.doi.org/10.1016/s0377-2217(00)00065-5.

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48

Eaton, Thomas A. "Complex Problems: Both Real and Imaginary." Journal of Chemical Education 71, no. 5 (May 1994): 434. http://dx.doi.org/10.1021/ed071p434.

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49

Demetriades, Demetrios, Juan A. Asensio, George Velmahos, and Erwin Thal. "COMPLEX PROBLEMS IN PENETRATING NECK TRAUMA." Surgical Clinics of North America 76, no. 4 (August 1996): 661–83. http://dx.doi.org/10.1016/s0039-6109(05)70475-8.

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50

Selinger, Evan, and Kyle Powys Whyte. "Nudging Cannot Solve Complex Policy Problems." European Journal of Risk Regulation 3, no. 1 (March 2012): 26–31. http://dx.doi.org/10.1017/s1867299x0000177x.

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We deepen Adam Burgess’ insight that under current conditions nudging cannot solve complex policy problems reliably and without controversy. We do so by integrating his concerns about nudging into Braden Allenby and Daniel Sarewitz's three-leveled model of the basic problems technology can address and generate. We use this model to explain why the UK experiment with nudging has revolved around techno-fixes with limited policy potential, and conclude that nudging is best seen as an emerging form of soft law.
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