Journal articles: 'Systemic model'

1

Lundberg, Jonas, and Björn JE Johansson. "Systemic resilience model." Reliability Engineering & System Safety 141 (September 2015): 22–32. http://dx.doi.org/10.1016/j.ress.2015.03.013.

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Laibman, David. "Systemic Socialism: A Model of the Models." Science & Society 86, no. 2 (2022): 225–47. http://dx.doi.org/10.1521/siso.2022.86.2.225.

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Ameliorative socialism is a set of democratic, egalitarian and humane values. Systemic socialism, by contrast, projects the general features of a social structure distinct from capitalism — a qualitatively different and superior way of organizing the core metabolic processes of society's production and reproduction. Diverse models of systemic socialism have been debated. These vary widely in their conceptions of organization — from highly central to completely decentralized; and in the mode of regulation envisioned — from entirely quantitative to reliant on qualitative political relations. It is now high time to search for the connections among the various models, in the interest of convergence toward an inclusive and rigorous scientific foundation for democratic advance and ever-greater fulfillment of human potential. The proposed model, “Multilevel Democratic Iterative Coordination” (MDIC), offers the best prospects for synthesis and progress in the envisioning of systemic socialism.

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Durán, Gustavo de Jesús Pérez. "Systemic Model of Organizations." Open Journal of Business and Management 09, no. 03 (2021): 1230–45. http://dx.doi.org/10.4236/ojbm.2021.93066.

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Melo, Dunstana, Guthrie Miller, John Klumpp, et al. "Americium systemic model for rats." BIO Web of Conferences 14 (2019): 02003. http://dx.doi.org/10.1051/bioconf/20191402003.

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YAMAMOTO, Toshiyuki. "Animal model of systemic sclerosis." Journal of Dermatology 37, no. 1 (2010): 26–41. http://dx.doi.org/10.1111/j.1346-8138.2009.00764.x.

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Luffiego, Máximo, Ma Félix Bastida, Francisco Ramos, and Julio Soto. "Systemic model of conceptual evolution." International Journal of Science Education 16, no. 3 (1994): 305–13. http://dx.doi.org/10.1080/0950069940160305.

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Myla, Srimannarayana, Karel Marshall, BCM Mabuza, Aleksandra Scalco, and Jack Sutherland. "Systemic Model of Leadership Approaches." INCOSE International Symposium 33, S1 (2023): 90–102. http://dx.doi.org/10.1002/iis2.13117.

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AbstractThis paper introduces a Technical Leadership Model designed to address the challenges posed by diverse businesses, the global context, and the technological landscape. The model's development involved a synthesis of cognitive studies on organizational leadership and a literature analysis of INCOSE SE Vision 2035 [Vision 35]. This vision offers insights into present and future Systems Engineering challenges, global megatrends, technological shifts, and a roadmap for enhancing competencies, skills, theoretical foundations, and collaborative opportunities within the systems engineering community.The research was spearheaded by a team within Cohort 7 of the INCOSE Technical Leadership Institute (TLI), aided by coaches and other cohort members. Through structured interviews, surveys, and workshops, these cohort members engaged senior organizational leaders to gather their viewpoints. These insights were amalgamated with the pre‐existing Leadership Model initially developed by a distinguished TLI coach with support from Cohort 1 in 2015 [Godfrey 2015]. The outcomes and conclusions are derived from a diverse range of collaborative methodologies utilized to forge this shared model. Moreover, input from senior leaders across various industries, organizations, and INCOSE TLI members, projecting future leadership trends, enriched the model. This body of work yields an enhanced, collective leadership model encompassing behavioral attributes such as vision, emotional intelligence, communication, effective team management, and an additional layer of dynamism.

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Božović, Miloš. "One-factor model for default rates by loan type." Bankarstvo 50, no. 2 (2021): 88–100. http://dx.doi.org/10.5937/bankarstvo2102088b.

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This paper investigates the link between default rates by loan types and the systemic credit risk component. This link is described by a linear model that combines systemic and idiosyncratic contributions. The systemic component is a latent factor that depends directly on the aggregate loan default rate, while the idiosyncratic component drives specific variations of default rates across loan types. By transforming observable risk measures, the model can be econometrically represented as a mixed-effects model, where the systemic and idiosyncratic components represent, respectively, the slope and the intercept that are specific for each loan type individually. The proposed model is illustrated on a panel of defaulted loans of the Association of Serbian Banks. The obtained results show the model's very high power in explaining average default rates for all loan types. Thus, the aggregate default rate plays the role of a unique systemic component that mimics the influence of fundamental macroeconomic risk factors easily, without the necessity to model this relationship explicitly.

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Gubanov, S. "The Economic Model of Belarus: From Systemic Limitations to Systemic Efficiency." Problems of Economic Transition 61, no. 4-5 (2019): 333–41. http://dx.doi.org/10.1080/10611991.2020.1739935.

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López Garza, Martha Patricia. "A systemic model to face organizational change." Gestión y Estrategia 20 (July 1, 2001): 74–81. http://dx.doi.org/10.24275/uam/azc/dcsh/gye/2001n20/lopez.

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11

Johnson. "A Systemic Model of Doping Behavior." American Journal of Psychology 124, no. 2 (2011): 151. http://dx.doi.org/10.5406/amerjpsyc.124.2.0151.

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12

Nicholas, Mary W. "Systemic Group Therapy: A Triadic Model." International Journal of Group Psychotherapy 47, no. 4 (1997): 543–45. http://dx.doi.org/10.1080/00207284.1997.11490859.

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Melo, Dunstana R., and Richard W. Leggett. "A Biokinetic Model for Systemic Nickel." Health Physics 112, no. 1 (2017): 18–27. http://dx.doi.org/10.1097/hp.0000000000000579.

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Leggett, Rich, and Eric Blanchardon. "Updated biokinetic model for systemic americium." Journal of Radiological Protection 39, no. 2 (2019): 579–97. http://dx.doi.org/10.1088/1361-6498/ab0d3b.

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Greene, Jeffrey R., and Martha Mueller Holden. "A Strategic-Systemic Family Therapy Model." Residential Treatment For Children & Youth 7, no. 3 (1990): 51–55. http://dx.doi.org/10.1300/j007v07n03_06.

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Seiça, Mariana, Licínio Roque, Pedro Martins, and F. Amílcar Cardoso. "A Design Model for Systemic Sonification." Journal of the Audio Engineering Society 72, no. 9 (2024): 571–84. http://dx.doi.org/10.17743/jaes.2022.0165.

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Singh, Manmeet Mahinderjit, and Anizah Abu Bakar. "A Systemic Cybercrime Stakeholders Architectural Model." Procedia Computer Science 161 (2019): 1147–55. http://dx.doi.org/10.1016/j.procs.2019.11.227.

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Leggett, R. W., and K. F. Eckerman. "A systemic biokinetic model for polonium." Science of The Total Environment 275, no. 1-3 (2001): 109–25. http://dx.doi.org/10.1016/s0048-9697(00)00858-5.

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Miller, Guthrie, John A. Klumpp, Deepesh Poudel, et al. "Americium Systemic Biokinetic Model for Rats." Radiation Research 192, no. 1 (2019): 75. http://dx.doi.org/10.1667/rr15256.1.

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20

Smith, Carol E., Shelby Rebeck, Helen Schaag, Susie Kleinbeck, Janice M. Moore, and Michael R. Bleich. "A Model for Evaluating Systemic Change." JONA: The Journal of Nursing Administration 35, no. 2 (2005): 67???73. http://dx.doi.org/10.1097/00005110-200502000-00004.

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21

Sheffield, Jim. "Systemic knowledge and the V-model." International Journal of Business Information Systems 1, no. 1/2 (2005): 83. http://dx.doi.org/10.1504/ijbis.2005.007401.

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22

Lin, Yi. "The systemic yoyo model: an introduction." Kybernetes 39, no. 2 (2010): 174–89. http://dx.doi.org/10.1108/03684921011021372.

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23

Tyler, Tracey Ann. "The limbic model of systemic trauma." Journal of Social Work Practice 26, no. 1 (2012): 125–38. http://dx.doi.org/10.1080/02650533.2011.602474.

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Kozlov, V. A., S. P. Sapozhnikov, P. B. Karyshev, A. I. Sheptukhina, and O. V. Nikolaeva. "Systemic Amyloidosis Model on Young Mice." Bulletin of Experimental Biology and Medicine 162, no. 4 (2017): 520–23. http://dx.doi.org/10.1007/s10517-017-3652-y.

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25

McIlroy, M. B., and R. C. Targett. "A model of the systemic arterial bed showing ventricular-systemic arterial coupling." American Journal of Physiology-Heart and Circulatory Physiology 254, no. 3 (1988): H609—H616. http://dx.doi.org/10.1152/ajpheart.1988.254.3.h609.

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A multielement model of the systemic arterial bed was implemented on a microcomputer and was used to simulate the transient response of the arterial circulation to a specific driving function: a linearly increasing left ventricular pressure. The elements (compliances and inductances) that simulate the aorta and its branches are determined by the characteristic impedances and time delays in the arterial system. The simulations of pressure and blood velocity signals found in a previous version of the model were improved by making the delays in the system nonuniform, with slow central and rapid peripheral wave speeds. This reduced the impedance into which the heart has to pump and increased the distal impedance, raising the peripheral diastolic pressures. When the reflection coefficient was decreased as the heart rate was increased, normal pressure and velocity signals could be maintained over a range of heart rates up to 150 min-1. Extrapolating this relationship to a heart rate of 200 min-1 indicated that the reflection coefficient could be zero at that heart rate, giving optimal power transmission through the arterial bed.

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26

Bertrando, Paolo, and Claudia Lini. "Towards a systemic-dialogical model of therapy." Human Systems: Therapy, Culture and Attachments 1, no. 1 (2021): 15–28. http://dx.doi.org/10.1177/26344041211003853.

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Bakhtin-inspired ideas that led to the emergence of dialogic therapies are usually considered as incompatible with other, more traditional models. This article presents a possible integration of dialogical ideas, with their acceptance of uncertainty and disorder, within a systemic understanding, where the emergence of systemic patterns is recognised. Through a comparison with the open dialogue approach, the article aims at clarifying the difference between a pure dialogical and a systemic-dialogical perspective, that is seen as more fitting with the contextual complexity of the world of today. The model of practice is illustrated by a case supervision example.

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27

Koenig, Kristi L., and Susan Lambe. "A Model Emergency Department Systemic Sedation Record." Academic Emergency Medicine 4, no. 12 (1997): 1178–80. http://dx.doi.org/10.1111/j.1553-2712.1997.tb03709.x.

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28

DAVIES, MARK. "Clergy Sexual Addiction: A Systemic Preventative Model." Sexual Addiction & Compulsivity 10, no. 2-3 (2003): 99–109. http://dx.doi.org/10.1080/10720160390230637.

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Konzen, Kevin, Scott Miller, and Richard Brey. "Proposed Modification to the Plutonium Systemic Model." Health Physics 109, no. 4 (2015): 307–18. http://dx.doi.org/10.1097/hp.0000000000000330.

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30

Messent, Philip. "How far can our systemic model reach?" Journal of Family Therapy 40, no. 3 (2018): 299–301. http://dx.doi.org/10.1111/1467-6427.12230.

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31

Haines, Victor Y., David L. Patient, and Alain Marchand. "Systemic justice and burnout: A multilevel model." Human Resource Management Journal 28, no. 1 (2017): 92–111. http://dx.doi.org/10.1111/1748-8583.12166.

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32

KHODZHAIAN, Аlina, and Nataliya KALYUZHNA. "SYSTEMIC MODEL OF MONETARY REGULATION IN UKRAINE." Bulletin of Taras Shevchenko National University of Kyiv. Economics, no. 224 (2024): 111–22. http://dx.doi.org/10.17721/1728-2667.2024/224-1/13.

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Background. The enhancement of effectiveness in regulating the financial and real sectors of the economy through monetary policy is achieved by the coordinated functioning of all components of its regulatory mechanism. Recognizing the systemic principles of monetary processes requires further development and generalization of monetary regulation in the form of a detailed model that should be built on understanding the general nature of this process and accounting for the specifics of its course in Ukraine under martial law conditions. Therefore, the purpose of the study is to develop a systemic model of monetary regulation in Ukraine based on the systematization of theoretical and methodological principles and organizational-management aspects of implementing the state's monetary policy, as well as substantiating criteria for its effectiveness. Methods. To achieve the set goal, the study used methods of induction (to form an inductive generalization regarding the systemic essence of the monetary regulation process), analysis and synthesis (when considering the instruments, goals, and results of the monetary policy of the National Bank of Ukraine), abstraction and generalization (to identify general and specific systemic characteristics of the monetary regulation process in Ukraine), graphical modeling (to form a systemic model of monetary regulation in Ukraine), and mathematical modeling (to substantiate the performance criterion of the systemic model of monetary regulation.) Results. The proposed systemic model of monetary regulation was developed taking into account both the essence of monetary policy aimed at ensuring price stability, and the specifics of its implementation in the state, which is determined primarily by the state and the dynamics of critical indicators of achieving monetary goals. The key elements of the model are defined taking into account the impact of the russian military aggression, the consequences of which were reflected by the critical deviation of the key indicators of monetary policy (primarily, consumer inflation and the discount rate) from the predicted values. The development of the model of monetary regulation in Ukraine confirmed the expediency of considering this process from the point of view of a systemic approach, which assumes the existence of elements traditional for the management system: subjects and objects of regulation, goals, tools, and indicators of their achievement. The crucial role of transmission channels in achieving the state's monetary policy goals is substantiated for developing a systemic model of monetary regulation in Ukraine . Taking into account the effectiveness of the influence of monetary regulation instruments on the financial and real sectors of the national economy, the transmission mechanism of monetary policy is defined as the central element of the systemic model of monetary regulation in Ukraine. Conclusions. The systemic model of monetary regulation proposed in the work was developed considering both the essence of monetary policy, aimed at ensuring price stability, and the specifics of its implementation, determined primarily by the state and dynamics of key indicators showing the achievement of monetary objectives. The key elements of the model were specified taking into account the impact of russian military aggression, which resulted in critical deviation of crucial monetary policy indicators (primarily, consumer inflation and the discount rate) from the predicted values. The development of the model of monetary regulation in Ukraine has confirmed the expediency of considering this process from the standpoint of a systemic approach that assumes the presence of elements traditional for the management system: subjects and objects of regulation, goals, tools and indicators of their achievement. In developing a systemic model of monetary regulation in Ukraine, the study also substantiates the key role of transmission channels in achieving the goals of the state's monetary policy. With regard to the effectiveness of the monetary regulation instruments on the financial and real sectors of the national economy, the transmission mechanism of monetary policy is defined as the central element of the systemic model of monetary regulation in Ukraine.

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33

Hua, C.-I. "Alonso's Systemic Model: A Review and Representation." International Regional Science Review 24, no. 3 (2001): 360–85. http://dx.doi.org/10.1177/016001701761013268.

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Hua, Chang-I. "Alonso’s Systemic Model: A Review and Representation." International Regional Science Review 24, no. 3 (2001): 360–85. http://dx.doi.org/10.1177/016001760102400306.

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35

Choi, E., I. Shin, H. Youn, and C. Lee. "Development of Canine Systemic Lupus Erythematosus Model." Journal of Veterinary Medicine Series A 51, no. 7-8 (2004): 375–83. http://dx.doi.org/10.1111/j.1439-0442.2004.00657.x.

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36

Uhlig, Harald. "A model of a systemic bank run." Journal of Monetary Economics 57, no. 1 (2010): 78–96. http://dx.doi.org/10.1016/j.jmoneco.2009.10.010.

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37

Lemos, Diogo, Amaral Nunes, José Machado, et al. "Mechanical simulation model of the systemic circulation." Measurement 66 (April 2015): 212–21. http://dx.doi.org/10.1016/j.measurement.2015.01.026.

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38

López-Marín, N., R. Mulet, and R. Rodríguez. "Photodynamic therapy: Toward a systemic computational model." Journal of Photochemistry and Photobiology B: Biology 189 (December 2018): 201–13. http://dx.doi.org/10.1016/j.jphotobiol.2018.10.020.

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39

Van Den Berg, Hugo A. "Model for mechanics of mollusc systemic heart." Comparative Biochemistry and Physiology Part A: Physiology 101, no. 4 (1992): 835–44. http://dx.doi.org/10.1016/0300-9629(92)90366-x.

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40

Manzi, S. "Systemic lupus erythematosus: a model for atherogenesis?" Rheumatology 39, no. 4 (2000): 353–59. http://dx.doi.org/10.1093/rheumatology/39.4.353.

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41

Figueredo, Giacomo, and Grazziela P. Figueredo. "A Systemic Dynamics Model of Text Production." Journal of Quantitative Linguistics 27, no. 4 (2019): 291–320. http://dx.doi.org/10.1080/09296174.2019.1567301.

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42

Sheng, G., M. S. Elzas, T. I. Ören, and B. T. Cronhjort. "Model validation: a systemic and systematic approach." Reliability Engineering & System Safety 42, no. 2-3 (1993): 247–59. http://dx.doi.org/10.1016/0951-8320(93)90092-d.

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43

Vucelic, D., P. Pesko, D. Stojakov, et al. "Systemic hemostatic drugs." Acta chirurgica Iugoslavica 54, no. 1 (2007): 177–95. http://dx.doi.org/10.2298/aci0701177v.

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Understanding the haemostatic changes is crucial in developing strategies for the management of haemorrhage syndroma. In recent years, the revised model of coagulation ("cell based" model) provided a much more authentic description of the coagulation process. Pharmacological intervention, especially desmopresin, antifibrinolytics (synthetics and nature) and increasingly recombinant activated factor VII are being used in prevention and therapeutically to control bleeding of variety etiologies. Skilful surgery combined with blood saving methods and careful management of blood coagulation will all help in successful hemorrhage prevention and treatment, and reduce unnecessary blood loss and transfusion requirements and its attendant risks. Among the all avalaible tests, the use of thromboelastography has allowed for more detailed dynamic assessment of the various steps of hemostasis.

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Lucas, Renata, Johanna Mihály, Janine Gericke, Dániel Törőcsik, and Ralph Rühl. "Vitamin D signaling in a mouse allergic sensitization model." International Journal for Vitamin and Nutrition Research 90, no. 5-6 (2020): 385–88. http://dx.doi.org/10.1024/0300-9831/a000633.

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Abstract. Vitamin D mediated signalling in the skin is discussed controversially for its beneficial or detrimental influence. In this study we examined various factors involved in Vitamin D-mediated signalling in a mouse model for allergic dermatitis with systemic (OVA IP) and systemic plus topical allergic sensitization (OVA IP + EC). We found that the major enzyme responsible for 1,25-Vitamin D3 synthesis, the 1-hydoxylase CYP27B1 (3,6-fold for OVA IP and 2,7-fold for OVA IP + EC), the vitamin D receptor (not altered) and the sensitive Vitamin D-mediated signalling target gene CYP24A1 (65-fold in OVA IP and 726-fold in OVA IP + EC) are upregulated after systemic and systemic plus topical allergic sensitization (OVA IP + EC). In consequence, active Vitamin D-mediated signalling is involved in systemic as well as systemic/topical allergic sensitization in mouse skin.

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Pedoto, A., J. E. Caruso, J. Nandi, A. Oler, E. M. Camporesi, and T. S. Hakim. "HYPOTHERMIA ATTENUATES SYSTEMIC HYPOTENSION AND NITRIC OXIDE PRODUCTION IN A MODEL OF SYSTEMIC ACIDOSIS." Anesthesiology 89, Supplement (1998): 435A. http://dx.doi.org/10.1097/00000542-199809080-00059.

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46

Amiel, Tel, Luis Claudio Kubota, and Willian Washington Wives. "A systemic model for differentiating school technology integration." Research in Learning Technology 24, no. 1 (2016): 31856. http://dx.doi.org/10.3402/rlt.v24.31856.

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Cotraccia, Anthony J. "Adaptive Information Processing and a Systemic Biopsychosocial Model." Journal of EMDR Practice and Research 6, no. 1 (2012): 27–36. http://dx.doi.org/10.1891/1933-3196.6.1.27.

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Shapiro’s (2001) adaptive information processing (AIP) model portrays an innate healing system hypothesized to be composed of neurophysiological mechanisms of action causally related to the resolution of disturbing life experiences. The author expands the model to include psychosocial mechanisms and suggests that a model of a biopsychosocial system can best depict causal properties related to positive outcomes of eye movement desensitization and reprocessing (EMDR). Teleofunctionalist and evolutionary perspectives are applied: the first, to explain the inclusion of the psychological and social features highlighted in the updated model; the second, to support the hypothesis that AIP is a goal of the human attachment system. It is posited that bonding, following a disturbing life experience, facilitates the access of information related to previous states, thus allowing an update of self/world models. These interactions are analogous to psychotherapeutic encounters, with multiple levels of information processing at subpersonal, personal, and interpersonal levels. Analysis of the causal properties of personal and interpersonal levels supports a broader understanding of AIP’s scope in conceptualizing psychopathology and informing treatment applications and research.

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Andreasen, A., K. Krabbe, R. Krogh-Madsen, S. Taudorf, B. Pedersen, and K. Moller. "Human Endotoxemia as a Model of Systemic Inflammation." Current Medicinal Chemistry 15, no. 17 (2008): 1697–705. http://dx.doi.org/10.2174/092986708784872393.

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Southern, Stephen, and Raymond D. Sullivan. "Family Violence in Context: An Intergenerational Systemic Model." Family Journal 29, no. 3 (2021): 260–91. http://dx.doi.org/10.1177/10664807211006274.

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Family violence represents a major public health problem and a violation of human rights. Violent families engage in child maltreatment or intimate partner violence in response to horizontal stressors, such as the COVID-19 pandemic, and vertical stressors, including events in the family life cycle and changes in cultural contexts. Although family violence is often considered an individual problem, solutions require close examination of family structure, dynamics, and competence. The Beavers Systems Model for Family Functioning identified family groupings at risk of family violence. An emerging perspective on intergenerational transmission of violence from childhood neglect and abuse to elder abuse accounts for the accumulation of adverse childhood experiences and increasing risk of victimization or perpetration. An intergenerational systemic model identifies multiple contexts and levels for evaluating and treating family violence over the life span. Early identification and intervention facilitate prevention and rehabilitation. As families transcend adversity, they are able to realize post-traumatic growth and resilience. Recommendations for applications of the model are offered.

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Rahmat Saputra, Andhika, Putri Zahra Azizah, and Adilati Sari. "Transformational Model: Pela Communicative Action and Systemic Action." Karsa: Journal of Social and Islamic Culture 29, no. 2 (2021): 100–133. http://dx.doi.org/10.19105/karsa.v29i2.4742.

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This study refers to how the Pela concept within the Maluku. This study relates to how the Pela concept within the Maluku community has a broad influence on the rationalization of the life-world. Modernity, liberalism, and the currents of globalization that fuel technical progress can jeopardize the rationalization of our life-world, which is essential for the integrity and solidarity of society, but neglect of technological progress should not be a proposition. Therefore, researchers, with the help of the dialectic of Habermas and Hardiman’s thoughts with their post-secular thoughts, found a motive to examine how Indonesian multiculturalism has the potential to rationalize the development of society. Using the perspective of Jurgen Habermas and Hardiman based on post-secular theory, the purpose of this study helped researchers study the forms of deliberation from the Pela system. Qualitative research is the research method used. The critical paradigm is the chosen solution. This study combines Pela concepts associated with Habermas and Hardiman’s post-secular thinking and uses Habermas’ critical hermeneutic theory. The results of this study show the decision-making process. In this context, the researchers found the Pela concept as the initial capital of the Maluku people to support technical progress without neglecting the roots of solidarity. This research can be a reference for further researchers in sociology, ethnology, and even human resource management.

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Journal articles on the topic 'Systemic model'

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