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Journal articles on the topic 'Stabilität/ Flexibilität'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Mühlbauer, Konstantin, and Sebastian Meißner. "Systematische Analyse der Stabilität eines Produktionssystems." Zeitschrift für wirtschaftlichen Fabrikbetrieb 116, no. 9 (September 1, 2021): 563–68. http://dx.doi.org/10.1515/zwf-2021-0139.

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Abstract Volatile Umfeldbedingungen zwingen Unternehmen zu kontinuierlichen Produkt- und Prozessoptimierungen. Ziel der Veränderungen in der Produktion ist dabei für viele Unternehmen die Sicherstellung der Effizienz bei gleichzeitiger Erhöhung der Flexibilität und Termintreue von Prozessen, um Kundenanforderungen zielgerichtet erfüllen zu können. Hierbei geben die Prinzipien des Lean Managements Leitlinie vor. Im vorliegenden Beitrag wird die Bedeutung des Prinzips der „Stabilität“ für Produktionssysteme im Hinblick auf die Ziele Effizienz, Flexibilität und Termintreue veranschaulicht und eine methodenbasierte Vorgehensweise zur Analyse von Einflussfaktoren auf die Stabilität für produzierende Unternehmen vorgestellt.

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2

Seifert, Hartmut. "Die zwei Gesichter der Flexibilität: Stabilität versus Instabilität." Sozialer Fortschritt 61, no. 6 (June 2012): 132–39. http://dx.doi.org/10.3790/sfo.61.6.132.

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3

Pavez, Carolina Bahamondes, Nina Schiml, and Heinz Schüpbach. "Individuelle Bewältigungsaspekte eines prospektiven Ressourcenmanagements zur Balance von Stabilität und Flexibilität." Zeitschrift für Arbeitswissenschaft 65, no. 2 (June 2011): 185–87. http://dx.doi.org/10.1007/bf03373832.

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4

Matejit-Papka, M. "Sicherheit von Industrieanlagen in Corona-Zeiten." Technische Sicherheit 10, no. 06 (2020): 14–16. http://dx.doi.org/10.37544/2191-0073-2020-06-14.

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Die Corona-Pandemie legt Abläufe und Prozesse in der Wirtschaft lahm oder verändert sie grundlegend. Lieferketten sind unterbrochen, Fließbänder stehen still und Mitarbeiter werden in Kurzarbeit geschickt. Die Situation verlangt Unternehmen Flexibilität, Anpassungsfähigkeit und schnelle Entscheidungen ab. Stabilität und wirtschaftliches Wachstum sind in Gefahr. Zudem stellen die vorgeschriebenen und weitreichenden Schutz- und Quarantänemaßnahmen Produktionsbetriebe vor große Herausforderungen.

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5

Preker, Alexander, and Christoph M. Haas. "Flexibilität und Effektivität vor Stabilität. Ein Beitrag zur Diskussion von Minderheitsregierungen auf Bundesebene am Beispiel der politischen Praxis Dänemarks." Zeitschrift für Politik 59, no. 4 (2012): 453–83. http://dx.doi.org/10.5771/0044-3360-2012-4-453.

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6

Fenzl, Claudia, and Marianne Resch. "Zur Analyse der Koordination von Tätigkeitssystemen." Zeitschrift für Arbeits- und Organisationspsychologie A&O 49, no. 4 (October 2005): 220–31. http://dx.doi.org/10.1026/0932-4089.49.4.220.

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Zusammenfassung. Die Diskussion um Work-Life-Balance betrifft unter anderem die Frage, wie Menschen ihr Handeln in unterschiedlichen Lebensbereichen koordinieren. Die Untersuchung dieser Frage setzt vielfältige methodische Zugänge voraus. In Studien etwa zum Verhältnis von Beruf und Familie werden jedoch fast ausschließlich Fragebögen verwendet, die meist allgemeine Merkmale der Familienhaushalte wie etwa die Kinderzahl erfassen oder subjektive Bewertungen erheben. Der im vorliegenden Beitrag vorgeschlagene methodische Ansatz beruht auf einer ausführlichen Erhebung und Bewertung der konkreten Tätigkeiten einer Person. Auf Grundlage handlungsregulatorischer Überlegungen werden drei Merkmale der Tätigkeiten bzw. ihrer Ausführungsbedingungen abgeleitet, die die Stabilität und Flexibilität des Tätigkeitssystems einer Person bzw. seine Koordinierbarkeit kennzeichnen: Erhaltungsrelevanz, zeitliche Gebundenheit und Eigendynamik. Ihre Erfassung erforderte die Weiterentwicklung eines vorliegenden handlungstheoretisch fundierten Verfahrens zur Analyse von Alltagstätigkeiten. Zur Veranschaulichung werden Erfahrungen aus einer Fallstudie berichtet. Sie sprechen dafür, dass der erweiterte Verfahrensentwurf eine solche Erhebung und die Differenzierung zwischen unterschiedlich gut koordinierbaren Tätigkeitssystemen der untersuchten Personen erlaubt.

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7

Frischknecht, Renato, and Max F. K. Happel. "Einfluss der Extrazellulären Matrix auf plastische Prozesse in jungen und alten Gehirnen. Extrazelluläre Matrix und Hirnplastizität." e-Neuroforum 22, no. 1 (January 1, 2016): 1–9. http://dx.doi.org/10.1515/s12269-015-0033-1.

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ZusammenfassungDie Balance zwischen struktureller Stabilität und funktioneller Flexibilität synaptischer Schaltkreise passt sich im Gehirn höherer Vertebraten ständig an die verschiedenen Lebensumstände an. Zunächst herrscht im juvenilen Hirnstadium hohe strukturelle Plastizität. Als kritischer Schritt in der Hirnreifung gilt die Entstehung der Extrazellulären Matrix (ECM, aus dem Englischen extracellular matrix ), welche das Potenzial für neuronale Plastizität und Regeneration als strukturstabilisierende Einheit limitiert. Neueste Forschungen haben erst begonnen, den Einfluss dieser vermeintlichen Limitierung adulter Plastizität auf lernabhängige Plastizität, lebenslange Gedächtnisanpassungen und höhere kognitive Funktionen zu untersuchen. In diesem Übersichtsartikel fassen wir aktuelle Befunde zusammen, welche die aktivitätsabhängige Modulation der ECM als Schlüsselelement für die Regulation lernabhängiger Plastizität im adulten Gehirn beschreiben. Die experimentelle Modifikation der ECM in lokalen neuronalen Schaltkreisen kann darüber hinaus als Werkzeug genutzt werden, um kurze Zeitfenster aktivitätsabhängiger neuronaler Reorganisationen zu ermöglichen. Wir diskutieren die Einflüsse dieser Verfahren auf entwicklungsabhängige Plastizität sowie Möglichkeiten der kognitiv flexibleren Auswahl wahrend unterschiedlicher Lern- und Verhaltensoptionen. Diese Befunde bieten Implikationen für neue regenerative und therapeutische Konzepte basierend auf zielgerichteter Neuroplastizität.

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8

Ebrahimi-Fakhari, Daniel, Michael Zemlin, Harald Sauer, Martin Poryo, Norbert Graf, and Sascha Meyer. "Erhebungseinheit für seltene pädiatrische Erkrankungen in Deutschland (ESPED) – 25 Jahre pädiatrische Epidemiologie: Eine Bestandsaufnahme." Klinische Pädiatrie 230, no. 04 (April 3, 2018): 215–24. http://dx.doi.org/10.1055/a-0586-4365.

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Zusammenfassung Hintergrund Die Erhebungseinheit für seltene pädiatrische Erkrankungen in Deutschland (ESPED) wurde 1992 mit dem Ziel gegründet, Daten zur Inzidenzbestimmung und zum Krankheitsverlauf seltener pädiatrischer Erkrankungen zu erheben. Methoden und Fragestellung Retrospektive Analyse der von 1992–2017 durch ESPED erhobenen epidemiologischen Daten bezüglich untersuchter Krankheitsbilder und -gruppen sowie systematische Analyse sämtlicher nationaler und internationaler ESPED-Publikationen. Zudem wurden die Kriterien zur Evaluation von Surveillance-Systemen des Center of Disease Control and Prevention (CDC) auf ESPED bzgl. Einfachheit, Flexibilität, Rechtzeitigkeit, Qualität der Daten, Repräsentanz und Vollständigkeit, Akzeptanz und Stabilität angewandt. Ergebnisse Im Zeitraum 1992–2017 wurden prospektiv 96 seltene Krankheitsentitäten untersucht. Die 3 größten Krankheitsgruppen waren: Infektiologie (n=30), Neuropädiatrie (n=14) und Hämatologie/Hämostaseologie (n=10). Es wurden 337 Publikationen in Kooperation mit ESPED in nationalen und internationalen Fachzeitschriften veröffentlicht. Bei den 192 Publikationen mit Impact-Faktor (IF) betrug der mediane IF 2,587 (Range 0,032–28,409). Die höchsten IF wurden in den Bereichen Endokrinologie/Stoffwechsel (n=130; medianer IF=3,534), Infektiologie (n=83; medianer IF=3,131) und Hämatologie/Hämostaseologie (n=37; medianer IF=2,497) erzielt. Unsere Untersuchung zeigte, dass ESPED die definierten CDC-Qualitätskriterien erfüllt. Schlussfolgerung ESPED ist ein sinnvolles, qualitativ hochwertiges Instrument zur Erfassung der Inzidenz sowie zur Beschreibung klinischer Erscheinungsformen von seltenen pädiatrischen Erkrankungen. Dies spiegelt sich in Publikationen in hochkarätigen nationalen und internationalen Fachzeitschriften wider.

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9

van de Weijenberg, Astrid. "Flexibiliteit versus stabiliteit." Management Kinderopvang 27, no. 5 (October 2021): 12–16. http://dx.doi.org/10.1007/s41190-021-0974-9.

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10

Teilum, Kaare, Johan G. Olsen, and Birthe B. Kragelund. "Protein stability, flexibility and function." Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 1814, no. 8 (August 2011): 969–76. http://dx.doi.org/10.1016/j.bbapap.2010.11.005.

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11

FLEMMING, J. S. "WAGE FLEXIBILITY AND EMPLOYMENT STABILITY." Oxford Economic Papers 39, no. 1 (March 1987): 161–74. http://dx.doi.org/10.1093/oxfordjournals.oep.a041775.

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12

Zahorik, John A. "Stability and flexibility in teaching." Teaching and Teacher Education 6, no. 1 (January 1990): 69–80. http://dx.doi.org/10.1016/0742-051x(90)90008-s.

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13

Hazouard, Solène. "Compétitivité : Flexibilité et stabilité des entreprises." Regards sur l’économie allemande, no. 101 (June 10, 2011): 38. http://dx.doi.org/10.4000/rea.4299.

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14

Vannozzi, Giuseppe, Giorgio Sanna, Redha Taiar, and Aurelio Cappozzo. "SPORT SHOE STABILITY AND FLEXIBILITY ASSESSMENT." Journal of Biomechanics 41 (July 2008): S424. http://dx.doi.org/10.1016/s0021-9290(08)70423-8.

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15

Mistick, Emily A., Andrew M. Mountcastle, and Stacey A. Combes. "Wing flexibility improves bumblebee flight stability." Journal of Experimental Biology 219, no. 21 (September 16, 2016): 3384–90. http://dx.doi.org/10.1242/jeb.133157.

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16

Godfrey, Daniel P., Christopher M. Singer, Donald J. Jacobs, and Irina V. Nesmelova. "Mos1 Transposase Thermodynamic Stability and Flexibility." Biophysical Journal 108, no. 2 (January 2015): 521a. http://dx.doi.org/10.1016/j.bpj.2014.11.2859.

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17

Cantor, Richard. "Increased price flexibility and output stability." Journal of Macroeconomics 11, no. 4 (September 1989): 563–74. http://dx.doi.org/10.1016/0164-0704(89)90006-2.

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18

Cook, James R., and Marilyn J. Smith. "Stability of Aeroelastic Airfoils with Camber Flexibility." Journal of Aircraft 51, no. 6 (November 2014): 2024–27. http://dx.doi.org/10.2514/1.c032955.

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19

Yin, Shuangye, Feng Ding, and Nikolay V. Dokholyan. "Modeling Backbone Flexibility Improves Protein Stability Estimation." Structure 15, no. 12 (December 2007): 1567–76. http://dx.doi.org/10.1016/j.str.2007.09.024.

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20

Greene, Lesley H., Jay A. Grobler, Vladimir A. Malinovskii, Jie Tian, K. Ravi Acharya, and Keith Brew. "Stability, activity and flexibility in α-lactalbumin." Protein Engineering, Design and Selection 12, no. 7 (July 1999): 581–87. http://dx.doi.org/10.1093/protein/12.7.581.

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21

Foerster, Anna, Constantin Schmidts, Thomas Kleinsorge, and Wilfried Kunde. "Affective distraction along the flexibility-stability continuum." Cognition and Emotion 34, no. 3 (June 27, 2019): 438–49. http://dx.doi.org/10.1080/02699931.2019.1635084.

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22

Ueltzhöffer, Kai, Diana J. N. Armbruster-Genç, and Christian J. Fiebach. "Stochastic Dynamics Underlying Cognitive Stability and Flexibility." PLOS Computational Biology 11, no. 6 (June 12, 2015): e1004331. http://dx.doi.org/10.1371/journal.pcbi.1004331.

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23

Jiang, Heyan, Diya Geng, Dapeng Liu, Nicholas Lanigan, and Xiaosong Wang. "Flexibility and Stability of Metal Coordination Macromolecules." Chemistry - A European Journal 23, no. 34 (May 23, 2017): 8280–85. http://dx.doi.org/10.1002/chem.201701133.

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24

Frank, Jodi Ackerman. "Ankle flexibility is key to postural stability." Scilight 2020, no. 51 (December 18, 2020): 511103. http://dx.doi.org/10.1063/10.0002914.

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25

Liljenström, Hans. "Neural Stability and Flexibility: A Computational Approach." Neuropsychopharmacology 28, S1 (June 24, 2003): S64—S73. http://dx.doi.org/10.1038/sj.npp.1300137.

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26

Watt, Andrew. "Employment stability in an age of flexibility." Transfer: European Review of Labour and Research 10, no. 2 (May 2004): 335–38. http://dx.doi.org/10.1177/102425890401000215.

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27

Herring, Charles A., Christopher M. Singer, Donald J. Jacobs, and Irina V. Nesmelova. "Thermodynamic Stability and Flexibility of CXC Chemokines." Biophysical Journal 104, no. 2 (January 2013): 60a. http://dx.doi.org/10.1016/j.bpj.2012.11.368.

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28

Kalimeri, Maria, Simone Melchionna, and Fabio Sterpone. "Protein Flexibility and Stability: Thermophiles Know Best." Biophysical Journal 106, no. 2 (January 2014): 256a—257a. http://dx.doi.org/10.1016/j.bpj.2013.11.1507.

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29

Hund, Alycia M., and Jodie M. Plumert. "The stability and flexibility of spatial categories." Cognitive Psychology 50, no. 1 (February 2005): 1–44. http://dx.doi.org/10.1016/j.cogpsych.2004.05.002.

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30

Iyoda, Isao, Yoshiyuki Kono, Junji Sawada, and Seiichi Matoba. "Transient Stability Simulation Algorithm Analyzing System Parameter Flexibility." IEEJ Transactions on Power and Energy 113, no. 12 (1993): 1407–12. http://dx.doi.org/10.1541/ieejpes1990.113.12_1407.

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31

Quezada, Andrea G., A. Jessica Díaz-Salazar, Nallely Cabrera, Ruy Pérez-Montfort, Ángel Piñeiro, and Miguel Costas. "Interplay between Protein Thermal Flexibility and Kinetic Stability." Structure 25, no. 1 (January 2017): 167–79. http://dx.doi.org/10.1016/j.str.2016.11.018.

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32

Micheo, William, Luis Baerga, and Gerardo Miranda. "Basic Principles Regarding Strength, Flexibility, and Stability Exercises." PM&R 4, no. 11 (November 2012): 805–11. http://dx.doi.org/10.1016/j.pmrj.2012.09.583.

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33

VOORHEES, BURTON, JOSEPH SENEZ, TODD KEELER, and MARTIN CONNORS. "A POPULATION MODEL OF THE STABILITY–FLEXIBILITY TRADEOFF." Advances in Complex Systems 11, no. 03 (June 2008): 443–70. http://dx.doi.org/10.1142/s021952590800174x.

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We present a population model illustrating the concept of virtual stability, i.e. the idea that complex adaptive systems with the capacity for self-monitoring and adaptive control are able to maintain themselves in states that would otherwise be unstable. The advantage gained from this is increased behavioral flexibility in the face of random environmental perturbations. In the model presented, transition probabilities between three population types are used to emulate stability: stable types have low probabilities of making transitions to other types, and unstable types have high transition probabilities. The model itself consists of two stable types and one unstable type, and conditions are explored that lead to dominance by the unstable type. Under certain conditions the unstable type can defeat a stable type, even in an environment that always favors the stable type.

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34

Patterson, John, Matthew C. B. Tsilimigras, Dennis R. Livesay, and Donald J. Jacobs. "Evolution of Stability/Flexibility Relationships in Beta-Lactamase." Biophysical Journal 116, no. 3 (February 2019): 472a. http://dx.doi.org/10.1016/j.bpj.2018.11.2548.

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35

Ionescu, Thea. "The Variability-Stability-Flexibility Pattern: A Possible Key to Understanding the Flexibility of the Human Mind." Review of General Psychology 21, no. 2 (June 2017): 123–31. http://dx.doi.org/10.1037/gpr0000110.

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Flexibility is a defining characteristic of our species. The current literature presents cognitive flexibility as having several meanings; this lack of a single definition may hinder work on understanding the concept. In this article, I begin with describing the variability–stability–flexibility pattern in the development of various abilities and then argue that as part of this chain, flexibility can be considered a property of the cognitive system and not in itself an ability. The implications of and challenges to this view are discussed. This view can foster progress in the understanding of cognitive flexibility: It can serve as a unifying framework in which to study the dynamic flow of stability and flexibility in the functioning of the cognitive system.

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Stanley, Christina R., Claudia Mettke-Hofmann, Reinmar Hager, and Susanne Shultz. "Social stability in semiferal ponies: networks show interannual stability alongside seasonal flexibility." Animal Behaviour 136 (February 2018): 175–84. http://dx.doi.org/10.1016/j.anbehav.2017.04.013.

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37

Armbruster, Diana J. N., Kai Ueltzhöffer, Ulrike Basten, and Christian J. Fiebach. "Prefrontal Cortical Mechanisms Underlying Individual Differences in Cognitive Flexibility and Stability." Journal of Cognitive Neuroscience 24, no. 12 (December 2012): 2385–99. http://dx.doi.org/10.1162/jocn_a_00286.

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The pFC is critical for cognitive flexibility (i.e., our ability to flexibly adjust behavior to changing environmental demands), but also for cognitive stability (i.e., our ability to follow behavioral plans in the face of distraction). Behavioral research suggests that individuals differ in their cognitive flexibility and stability, and neurocomputational theories of working memory relate this variability to the concept of attractor stability in recurrently connected neural networks. We introduce a novel task paradigm to simultaneously assess flexible switching between task rules (cognitive flexibility) and task performance in the presence of irrelevant distractors (cognitive stability) and to furthermore assess the individual “spontaneous switching rate” in response to ambiguous stimuli to quantify the individual dispositional cognitive flexibility in a theoretically motivated way (i.e., as a proxy for attractor stability). Using fMRI in healthy human participants, a common network consisting of parietal and frontal areas was found for task switching and distractor inhibition. More flexible persons showed reduced activation and reduced functional coupling in frontal areas, including the inferior frontal junction, during task switching. Most importantly, the individual spontaneous switching rate antagonistically affected the functional coupling between inferior frontal junction and the superior frontal gyrus during task switching and distractor inhibition, respectively, indicating that individual differences in cognitive flexibility and stability are indeed related to a common prefrontal neural mechanism. We suggest that the concept of attractor stability of prefrontal working memory networks is a meaningful model for individual differences in cognitive stability versus flexibility.

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38

Singh, Gurbachan. "A Macroeconomic Model with Price Flexibility." South Asian Journal of Macroeconomics and Public Finance 7, no. 1 (March 29, 2018): 37–59. http://dx.doi.org/10.1177/2277978718760069.

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A simple macroeconomic model is used to show that the market failure to maintain macroeconomic stability can be due to (a) price rigidity or (b) price flexibility that allows false and abnormal prices to prevail. The macroeconomic literature typically considers the first case only; this article focuses on the second case. Besides the Keynesian fiscal policy, this article considers a Pigouvian tax–subsidy scheme; the latter can be used to correct each false price individually (this use in macroeconomics resembles the more familiar use in public economics). This helps alleviate the scarcity of instruments with policymakers. As in the writings of Keynes, price stability (or rigidity) here is a policy target rather than an assumption in the model. There has been a general need to reconsider macroeconomic models since the Great Recession of 2008; this article contributes in this endeavour. JEL: E12, E62, H20

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39

Castillo, Jason T., Greg W. Welch, and Christian M. Sarver. "Walking a High Beam." American Journal of Men's Health 6, no. 2 (August 23, 2011): 120–31. http://dx.doi.org/10.1177/1557988311417612.

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Compared with resident fathers, nonresident fathers are more likely to be unemployed or underemployed and less likely, when they are employed, to have access to flexible work arrangements. Although lack of employment stability is associated with lower levels of father involvement, some research shows that increased stability at work without increased flexibility is negatively related to involvement. Using data from the Fragile Families and Child Wellbeing Study ( N = 895), the authors examined the relationship between nonresident fathers’ employment stability, workplace flexibility, and father involvement. Results indicate that workplace flexibility, but not employment stability, is associated with higher levels of involvement. Policy and practice implications are discussed.

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40

Li, Tong, Deeptak Verma, Malgorzata Tracka, Jose Casas-Finet, Dennis Livesay, and Donald Jacobs. "Thermodynamic Stability and Flexibility Characteristics of Antibody Fragment Complexes." Protein & Peptide Letters 21, no. 8 (July 8, 2013): 752–65. http://dx.doi.org/10.2174/09298665113209990051.

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41

De Grauwe,, Paul, and Yuemei Ji. "Flexibility Versus Stability: A Difficult Tradeoff in the Eurozone." Credit and Capital Markets – Kredit und Kapital 49, no. 3 (September 2016): 375–413. http://dx.doi.org/10.3790/ccm.49.3.375.

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42

Porumbu, Daniela, and Daniela Necşoi. "Stability vs. Flexibility in the Dynamics of the Ego." Procedia - Social and Behavioral Sciences 76 (April 2013): 690–94. http://dx.doi.org/10.1016/j.sbspro.2013.04.188.

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43

Roure, Virginie, and Frédéric Bantignies. "Polycomb group-mediated gene silencing mechanisms: stability versus flexibility." Epigenomics 1, no. 2 (December 2009): 301–18. http://dx.doi.org/10.2217/epi.09.28.

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44

Jiang, Hao, Bingzhen Chen, Hangzhou Wang, Tong Qiu, and Jinsong Zhao. "Novel Method for Considering Process Flexibility and Stability Simultaneously." Industrial & Engineering Chemistry Research 53, no. 38 (September 15, 2014): 14765–75. http://dx.doi.org/10.1021/ie501602d.

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45

Tobin, James. "Price Flexibility and Output Stability: An Old Keynesian View." Journal of Economic Perspectives 7, no. 1 (February 1, 1993): 45–65. http://dx.doi.org/10.1257/jep.7.1.45.

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In this symposium I shall play the role in which I was cast, the unreconstructed old Keynesian. Considering the alternatives, I do not mind being billed as a Keynesian, an old Keynesian at that. But old Keynesians come in several varieties, and I speak for no one but myself. Nor do I defend the literal text of The General Theory. Several generations of economists have criticized, amended, and elaborated that seminal work. I shall argue for the validity of the major propositions that distinguish Keynesian macroeconomics from old or new classical macroeconomics.

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46

Bódi, Dorina, and Tibor Höltzl. "Thermal Stability and Flexibility of Hydrogen Terminated Phosphorene Nanoflakes." Journal of Physical Chemistry C 122, no. 15 (March 15, 2018): 8535–42. http://dx.doi.org/10.1021/acs.jpcc.7b11817.

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47

Tuzcu, Ilhan, and Leonard Meirovitch. "Effects of Flexibility on the Stability of Flying Aircraft." Journal of Dynamic Systems, Measurement, and Control 127, no. 1 (June 21, 2004): 41–49. http://dx.doi.org/10.1115/1.1870040.

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Traditionally, flying aircraft have been treated within the confines of flight dynamics, which is concerned, for the most part, with rigid aircraft. On the other hand, flexible aircraft fall in the domain of aeroelasticity. In reality all aircraft possess some measure of flexibility and carry out rigid body maneuvers, so that the question arises as to whether rigid body motions and flexibility in combination can affect adversely the stability of flying aircraft. This paper addresses this question by solving the eigenvalue problem for the following three cases: (i) the flight dynamics of a flexible aircraft regarded as rigid and whose perturbations about the flight path are controlled by feedback control, (ii) the aeroelasticity of a corresponding flexible aircraft prevented from undergoing rigid body translations and rotations, and (iii) the control of the actual flexible aircraft using the control gains derived in the first case by regarding the aircraft as rigid. This investigation demonstrates that it is not always safe to treat separately rigid body and flexibility effects in a flying flexible aircraft.

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Kamerzell, Tim J., and C. Russell Middaugh. "The Complex Inter-Relationships Between Protein Flexibility and Stability." Journal of Pharmaceutical Sciences 97, no. 9 (September 2008): 3494–517. http://dx.doi.org/10.1002/jps.21269.

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Kandil, Magda. "PRICE FLEXIBILITY AND AGGREGATE STABILITY: NEW EVIDENCE AND IMPLICATIONS." Economic Inquiry 32, no. 2 (April 1994): 272–89. http://dx.doi.org/10.1111/j.1465-7295.1994.tb01329.x.

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Karshikoff, A., and I. Jelesarov. "Salt Bridges and Conformational Flexibility: Effect on Protein Stability." Biotechnology & Biotechnological Equipment 22, no. 1 (January 2008): 606–11. http://dx.doi.org/10.1080/13102818.2008.10817520.

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