Готові списки джерел за темами / Complex human systems

Добірка наукової літератури з теми "Complex human systems"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Complex human systems"

1

Pelech, William. "Complex Systems and Human Behavior." Social Work Education 30, no. 8 (December 2011): 1023–24. http://dx.doi.org/10.1080/02615479.2011.554224.

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2

Moray, Neville P. "Human Factors in Complex Systems." Proceedings of the Human Factors Society Annual Meeting 29, no. 4 (October 1985): 323–24. http://dx.doi.org/10.1177/154193128502900401.

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The appearance of a whole number of “Human Factors” dedicated to Automation bears witness to the importance of this topic. Not merely are we designing increasingly complex systems, but we are asking that they be operated by crews with fewer and fewer people The introduction of automation, robotics and artificial intelligence will, it is assumed, make for more efficiency. But our knowledge of the human factors of these systems is primitive. This session it is hoped will act as a focus for interest in such topics.
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3

Mayer-Kress, Gottfried, Yeou-Teh Liu, and Karl M. Newell. "Complex systems and human movement." Complexity 12, no. 2 (2006): 40–51. http://dx.doi.org/10.1002/cplx.20151.

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4

Ma'ayan, Avi. "Complex systems biology." Journal of The Royal Society Interface 14, no. 134 (September 2017): 20170391. http://dx.doi.org/10.1098/rsif.2017.0391.

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Complex systems theory is concerned with identifying and characterizing common design elements that are observed across diverse natural, technological and social complex systems. Systems biology, a more holistic approach to study molecules and cells in biology, has advanced rapidly in the past two decades. However, not much appreciation has been granted to the realization that the human cell is an exemplary complex system. Here, I outline general design principles identified in many complex systems, and then describe the human cell as a prototypical complex system. Considering concepts of complex systems theory in systems biology can illuminate our overall understanding of normal cell physiology and the alterations that lead to human disease.
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5

Warwick, Walter, Laura Marusich, and Norbou Buchler. "Complex Systems And Human Performance Modeling." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, no. 1 (September 2013): 803–7. http://dx.doi.org/10.1177/1541931213571175.

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6

Cox, Ralf F. A., Ruud J. R. Den Hartigh, Michael J. Richardson, Chen Yu, and Till D. Frank. "Complex Dynamical Systems in Human Development." Complexity 2019 (July 1, 2019): 1–3. http://dx.doi.org/10.1155/2019/5010413.

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7

Carayon, Pascale. "Human factors of complex sociotechnical systems." Applied Ergonomics 37, no. 4 (July 2006): 525–35. http://dx.doi.org/10.1016/j.apergo.2006.04.011.

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Crisp, Harry E. "Engineering of Complex, Human Centric Systems." INSIGHT 3, no. 1 (April 2000): 11–12. http://dx.doi.org/10.1002/inst.20003111.

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Rouse, William B. "Enterprise Support Systems: Human Interaction with Complex Organizational Systems." IFAC Proceedings Volumes 28, no. 15 (June 1995): 125–30. http://dx.doi.org/10.1016/s1474-6670(17)45220-7.

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Sergeev, Sergey. "Intelligent technosymbiosis in complex human-machine systems." Ergodesign 2021, no. 1 (March 30, 2021): 70–76. http://dx.doi.org/10.30987/2658-4026-2021-1-70-76.

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The article discusses the consequences of implementing and using artificial intelligence systems in complex ergatic systems. It is shown that when creating systems and technologies of artificial intelligence, it is necessary to take into account the psychological issues of ensuring the symbiotic interaction of a person with an evolving technogenic environment. The perspective directions of engineering and psychological research using the conceptual apparatus of post-nonclassical psychology are considered.
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Дисертації з теми "Complex human systems"

1

Lewis, James R. "Modelling complex human-based industrial systems." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/95884/1/James_Lewis_Thesis.pdf.

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This thesis is a case study in modelling a complex human-based industrial system which addresses the problem of network peak demand for electricity by residential customers. The study demonstrates the importance of designing interventions aimed at reducing peak demand that take into account the interactions of the various elements of the system. Available data from industry-specific and public sources was combined with data from relevant expert opinion through a Bayesian network (BN) approach. Applying the BN to investigate various market-based and government interventions provided insights into the major influencing factors in the system.
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2

Henneman, Richard Lewis. "Human problem solving in complex hierarchical large scale systems." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/25432.

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Ramos, Martín Jesús. "Complex systems and exosomatic energy metabolism of human societies." Doctoral thesis, Universitat Autònoma de Barcelona, 2005. http://hdl.handle.net/10803/4068.

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La presente Tesis se centra en la importancia que tienen los flujos de energía para explicar la evolución de las economías en el tiempo, de menor a mayor organización, de menor a mayor complejidad. El desarrollo económico es un proceso, no un objetivo final para ninguna sociedad. Está relacionado con la evolució n de los sistemas humanos así como con su interacción con el entorno. Por lo tanto, se necesita un enfoque biofísico para poder entender mejor el proceso de desarrollo. Por ello esta tesis incluye una primera parte teórica y una parte empírica.
La primera parte consiste en 5 capítulos, principalmente de contenido teórico. Esta parte trata la relación entre la teoría económica, la teoría de los sistemas complejos y la termodinámica. El Capítulo 1 presenta de forma breve la relación entre complejidad, energía y economía, que son tratadas con más detalle en el resto de la tesis. El Capítulo 2 presenta el análisis energético bajo el enfoque de las diferentes escuelas de pensamiento económico. Se da particular énfasis al retorno al interés clásico en la producció n, tal y como recientemente surge entre aquellos que se llaman "economistas ecológicos". De hecho, uno de los mayores avances de éstos ha sido la incorporación de aspectos de la termodinámica al análisis económico. En particular, se habla de la importancia de la Segunda Ley de la Termodinámica y de su resultado más importante, la irreversibilidad de los procesos, que pone de manifiesto la importancia de la Historia. El Capítulo 3 trata de forma breve los temas de complejidad y autoorganización. El Capítulo 4 usa los conceptos desarrollados en capítulos anteriores para caracterizar a los sitemas humanos (p.e. economías) como sistemas abiertos lejos del equilibrio (termodinámico). Se presentan, a su vez, sus principales características, entre las que destacan su carácter jerárquico y su funcionamiento a través de ciclos auto-catalíticos que unen los diferentes niveles del sistema. La evolución de los sistemas económicos es el tema del Capítulo 5, tanto desde una perspectiva económica tradicional como desde una evolutiva, en la que 'la historia cuenta'. La explicación se basa en el análisis termodinámico, en donde el énfasis está en la relación entre la disipación de energía y el desarrollo. La segunda parte de la tesis consiste en 4 artículos publicados en revistas internacionales (capítulos 6 a 9), y un artículo que será enviado próximamente a una revista y que será presentado en una conferencia internacional en el verano de 2005. El primero de los artículos (Capítulo 6) es todavía de tipo teórico, tratando el tema del empirismo en economía ecológica para analizar la evolución de las sociedades. El Segundo (Capítulo 7) presenta la primera aplicación que hice en 2001 de la metodología MSIASM, para analizar la evolución de la economía española en el tiempo, y ayuda al lector a familiarizarse con la metodología.
El tercer artículo (Capítulo 8) vuelve a ser de carácter teórico, pero representa un avance y desarrollo teórico, y ayuda a entender las potencialidades que presenta la metodología utilizada, por medio de la inclusión de conceptos como el 'efecto mosaico' o el 'análisis de ciclos impredicativos', que ayudan a desarrollar mejor la narrativas a usar cuando analizamos temas de sustentabilidad. El cuarto artículo (Capítulo 9) presenta otra aplicación de MSIASM. En este caso se trata de entender las posibilidades que ofrece la metodología para ayudar a explicar trayectorias pasadas de desarrollo, así como para elaborar escenarios futuros de desarrollo. El quinto artículo (Capítulo 10) es la última aplicación, hasta el momento, de la misma metodología. El artículo representa un análisis del desarrollo económico de un actor principal en la economía mundial en la actualidad, China, para ofrecer respuestas diferentes a las típicas preguntas sobre la relación entre desarrollo y disipación de energía.
The present dissertation deals with the issue of the importance of energy flows in driving the evolution of economies on time, from less to more organised structures. From less to more complex systems. Economic development is a process, not a final goal to be achieved by any society. It is related to the economic evolution of human systems as well as with their interaction with the environment. Therefore, a biophysical analysis is needed to fully understand the process. The Thesis comprises both a theoretical and an empirical part. The first one consists of Chapters 1 to 5, which are mainly of theoretical content. This is the part dealing with the relationship between economic theory, complex systems theory and thermodynamics. Chapter 1 briefly presents the relationships between complexity, energy, and economics that are developed with more detail throughout the Thesis. Chapter 2 presents energy analysis under the framework of the different schools of economic thought. Stress is given to the revival of the classical interest in production, as we can find among those who call themselves "ecological economists". In fact, one of their major advances of this school has been the incorporation of the insights of thermodynamics to economic analysis. They have mainly used the Second Law of thermodynamics and its major result, the irreversibility of processes, and therefo re the importance of History. Chapter 3 deals with the issue of complexity and self-organisation. Chapter 4 uses the concepts developed in previous chapters to characterise human systems (i.e. economies) as open complex systems far from (thermodynamic) equilibrium. Their major characteristics are presented, focusing on their hierarchical structure and their functioning via autocatalytic loops that link each level of the system. The evolution of economic systems is analysed in Chapter 5, both from a traditional economic perspective and from an evolutionary one, in which 'history counts'. The explanation is based on thermodynamic analysis, in the sense than the relation between energy dissipation and development is the focus. The second part consists of 4 published papers in international refereed journals (Chapters 6 to 9) and one paper to be submitted soon after it is presented at an international conference in July 2005 (Chapter 10). The first of the papers (Chapter 6) is still theoretical, dealing with the issue of empiricism in the field of ecological economics to analyse the evolution of societies. The second one (Chapter 7) presents the first application I made back in 2001 of the MSIASM methodology, to analyse the evolution of the Spanish economy over time, and helps the reader to be familiar with the methodology. The third paper (Chapter 8) represents a step forward in the theoretical development of the approach used, and helps in fully understanding the potentialities of such methodology, by introducing key concepts such as 'mosaic effect' or 'impredicative loop analysis', that help developing better narratives for using when analysing sustainability. The fourth paper (Chapter 9) presents another application of MSIASM, this time for understanding its possibilities to help explain past trajectories of development and to help elaborate scenarios of future development. The fifth paper (Chapter 10) is the last application of the methodology. The paper represents an analysis of the economic development of a major actor nowadays, China, by applying MSIASM to try to get different answers to the usual questions regarding the relationship between economic development and energy dissipation.
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Armstrong, James Eubank Jr. "Distributed decision making for command-and-control of complex dynamic systems." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/30983.

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5

Тризна, Олександра Олександрівна, and А. О. Ковальова. "Human factors of complex indication systems of new generation aircrafts." Thesis, Національний авіаційний університет, 2015. http://er.nau.edu.ua/handle/NAU/13940.

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6

Ganapathy, Subhashini. "HUMAN-CENTERED TIME-PRESSURED DECISION MAKING IN DYNAMIC COMPLEX SYSTEMS." Wright State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1152229142.

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7

McQuesten, Pamela Ann. "Human action in mass communication : a complex adaptive systems approach /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Erdogan, Ezgi. "A Complex Dynamical Systems Model Of Education, Research, Employment, And Sustainable Human Development." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612138/index.pdf.

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Анотація:
Economic events of this era reflect the fact that the value of information and technology has surpassed the value of physical production. This motivates countries to focus on increasing the education levels of citizens. However, policy making about education system and its returns requires dynamical analyses in order to be sustainable. The study aims to investigate the dynamic characteristics of a country-wide education system, in particular, that of Turkey. System Dynamics modeling, which is one of the most commonly referred tools for understanding the complex social structures, is used. Our model introduces dynamic relationships among different classes of labor forces with varying education levels, university admissions, research quality, and the investments made in education, research and other sectors. Model experimentation provides new insights into the investment and capacity-related aspects of the education system environment.
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9

Quinn, Janet. "Studies on the inner lipoyl domain of the human pyruvate dehydrogenase complex." Thesis, University of Newcastle Upon Tyne, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240856.

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Baraka, Ali. "Soft-computing and human-centric approaches for modelling complex manufacturing systems." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/16183/.

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Книги з теми "Complex human systems"

1

Ntuen, Celestine A., and Eui H. Park. Human Interaction with Complex Systems. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1447-9.

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2

Human behavior and complex systems. Chicago: Lyceum Books, 2010.

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3

Trisha, Van Zandt, ed. Human factors in simple and complex systems. Boston: Allyn and Bacon, 1994.

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4

1944-, Wise John A., Hopkin V. David, Stager Paul, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute and Validation of Complex and Integrated Human-Machine Systems (1992 : Vimeiro, Lisbon, Portugal), eds. Verification and validation of complex systems: Human factors issues. Berlin: Springer-Verlag, 1993.

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5

Investigating human error: Incidents, accidents, and complex systems. Aldershot: Ashgate, 2002.

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6

H, Park Eui, ed. Human interaction with complex systems: Conceptual principles and design practice. Boston: Kluwer Academic Publishers, 1996.

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7

Ntuen, Celestine A. Human Interaction with Complex Systems: Conceptual Principles and Design Practice. Boston, MA: Springer US, 1996.

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8

Complex socio-technical systems: Understanding and influencing the causality of change. Amsterdam: IOS Press, 2012.

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9

Wise, John A., V. David Hopkin, and Paul Stager, eds. Verification and Validation of Complex Systems: Human Factors Issues. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-02933-6.

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1941-, Hollnagel Erik, Mancini Giuseppe 1940-, and Woods David D. 1952-, eds. Cognitive engineering in complex dynamic worlds. London: Academic Press, 1988.

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Частини книг з теми "Complex human systems"

1

Kostakos, Vassilis, Jakob Rogstadius, Denzil Ferreira, Simo Hosio, and Jorge Goncalves. "Human Sensors." In Understanding Complex Systems, 69–92. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25658-0_4.

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Newsome, William T. "Human Freedom “Emergence”." In Understanding Complex Systems, 53–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03205-9_3.

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3

Johnson, Neil F. "Complexity in Human Conflict." In Understanding Complex Systems, 303–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75261-5_14.

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4

Lubashevsky, Ihor, and Natalie Plavinska. "Human Temporality: Qualitative Description." In Understanding Complex Systems, 137–228. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82612-3_3.

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Ferreira, Denzil, Vassilis Kostakos, and Immanuel Schweizer. "Human Sensors on the Move." In Understanding Complex Systems, 9–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25658-0_1.

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Gautama, Sidharta, Martin Atzmueller, Vassilis Kostakos, Dominique Gillis, and Simo Hosio. "Observing Human Activity Through Sensing." In Understanding Complex Systems, 47–68. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25658-0_3.

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Shockley, Kevin, and Michael A. Riley. "Interpersonal Couplings in Human Interactions." In Understanding Complex Systems, 399–421. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07155-8_14.

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Shiota, Kohei. "To Err is Human: The Complex Nature of Human Reproduction and Prenatal Development." In Creative Complex Systems, 17–31. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4457-3_2.

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Edmonds, Bruce, Pablo Lucas, Juliette Rouchier, and Richard Taylor. "Human Societies: Understanding Observed Social Phenomena." In Understanding Complex Systems, 709–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-93813-2_26.

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Edmonds, Bruce, Pablo Lucas, Juliette Rouchier, and Richard Taylor. "Human Societies: Understanding Observed Social Phenomena." In Understanding Complex Systems, 763–800. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66948-9_28.

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Тези доповідей конференцій з теми "Complex human systems"

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Luo, Xu-Hui, Jiang Wang, Meng Qian, Zhong Liu, Wei-Ming Zhang, and Cheng Zhu. "Complex Human-System Systems Design for C2." In 2011 IEEE 9th International Conference on Dependable, Autonomic and Secure Computing (DASC). IEEE, 2011. http://dx.doi.org/10.1109/dasc.2011.169.

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Lorscheid, Iris. "Learning Agents for Human Complex Systems." In 2014 IEEE 38th International Computer Software and Applications Conference Workshops (COMPSACW). IEEE, 2014. http://dx.doi.org/10.1109/compsacw.2014.73.

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3

Hodgson, Allan, Carys E. Siemieniuch, Ella-Mae Hubbard, and Murray A. Sinclair. "Modelling the human components of complex systems." In 2010 5th International Conference on System of Systems Engineering (SoSE). IEEE, 2010. http://dx.doi.org/10.1109/sysose.2010.5544068.

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Bandakova, Jana. "The Adaptability in Complex Software Systems." In 2008 Conference on Human System Interactions. IEEE, 2008. http://dx.doi.org/10.1109/hsi.2008.4581417.

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Irshad, Lukman, and Daniel Hulse. "Resilience Modeling in Complex Engineered Systems With Human-Machine Interactions." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89531.

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Abstract In recent times, there has been a growing interest in resilience-based design. Resilience-based design operates on the concept that failures and unexpected events will happen, and when they occur, complex engineered systems should be able to operate within acceptable bounds and recover reasonably. Humans can contribute to the resilience of a system by quickly detecting unforeseen events and taking corrective measures. To this effect, researchers have proposed guidelines and design approaches that can help promote human-system resilience. However, there is no early design stage tool to validate if a system is indeed resilient after applying these guidelines and design methods. In this research, we integrate the Human Error and Functional Failure Reasoning (HEFFR) framework into the fmd-tools toolkit to enable designers to model the combined (machine, human, and joint) failures, including their propagation and dynamic effects, during early design stages. This integrated tool also allows designers to model the effects of performance shaping factors, team dynamics, and human-machine interactions in systems of systems. A demonstrative example of a remotely operated rover is explored to demonstrate how this approach can be applied to understand resilience in complex engineered systems with human interactions.
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de Carvalho, Elaine Alves, Alessandro Jatobá, and Paulo Victor R. de Carvalho. "Usability for complex systems?" In IHC '19: XVIII Brazilian Symposium on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357155.3360475.

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Dralus, Grzegorz. "Study on quality of complex models of dynamic complex systems." In 2010 3rd International Conference on Human System Interactions (HSI). IEEE, 2010. http://dx.doi.org/10.1109/hsi.2010.5514570.

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Anwar, Asmaa Sabet, Kareem Kamal A. Ghany, and Hesham ElMahdy. "Human ear recognition using SIFT features." In 2015 Third World Conference on Complex Systems (WCCS). IEEE, 2015. http://dx.doi.org/10.1109/icocs.2015.7483254.

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Ostrom, Lee T. "Developing risk models for complex systems." In 2013 6th International Conference on Human System Interactions (HSI). IEEE, 2013. http://dx.doi.org/10.1109/hsi.2013.6577823.

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Alfinito, Eleonora, Lino Reggiani, Rosella Cataldo, Giorgio De Nunzio, Maria Rachele Guascito, and Livia Giotta. "Proteotronics: Application to Human 17-40 and Bacteriorhodopsin Receptors." In 1st International Conference on Complex Information Systems. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005905800320038.

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Звіти організацій з теми "Complex human systems"

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Shamma, J. S., E. Feron, L. Gasser, and T. von Thaden. Coordinated Multi-Disciplinary Design of Complex Human Machine Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2012. http://dx.doi.org/10.21236/ada567090.

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Gallup, Shelley, Jared Freeman, Randall Murch, Tami Smith, Hal Moore, Art Glynn, and Jeff Chilton. Human Interoperability: Experimentation to Understand & Improve the Human Component of Complex Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada487231.

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Oishi, Meeko M. Final LDRD report human interaction with complex systems: advances in hybrid reachability and control. Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/899366.

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Henneman, Richard L., and William B. Rouse. Human Problem Solving in Dynamic Environments. Understanding and Supporting Operators in Large-Scale, Complex Systems. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada189539.

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Cassimatis, Nicholas L. Enabling More Complex and Adaptive Systems with Machine and Human Components using Automated Reasoning Methods. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada590228.

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6

Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41026.

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Анотація:
The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The purpose of this study is to use systems thinking skills as a supplemental selection tool when recruiting prospective employees. To the best of our knowledge, there is no prior research that studied the use of systems thinking skills for recruiting purposes. The proposed framework offers an established tool to HRM professionals for assessing and screening of prospective employees of an organization based on their level of systems thinking skills while controlling uncertainties of complex decision-making environment with the fuzzy linguistic approach. This framework works as an expert system to find the most appropriate candidate for the organization to enhance the human capital for the organization.
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Cahaner, Avigdor, Susan J. Lamont, E. Dan Heller, and Jossi Hillel. Molecular Genetic Dissection of Complex Immunocompetence Traits in Broilers. United States Department of Agriculture, August 2003. http://dx.doi.org/10.32747/2003.7586461.bard.

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Objectives: (1) Evaluate Immunocompetence-OTL-containing Chromosomal Regions (ICRs), marked by microsatellites or candidate genes, for magnitude of direct effect and for contribution to relationships among multiple immunocompetence, disease-resistance, and growth traits, in order to estimate epistatic and pleiotropic effects and to predict the potential breeding applications of such markers. (2) Evaluate the interaction of the ICRs with genetic backgrounds from multiple sources and of multiple levels of genetic variation, in order to predict the general applicability of molecular genetic markers across widely varied populations. Background: Diseases cause substantial economic losses to animal producers. Emerging pathogens, vaccine failures and intense management systems increase the impact of diseases on animal production. Moreover, zoonotic pathogens are a threat to human food safety when microbiological contamination of animal products occurs. Consumers are increasingly concerned about drug residues and antibiotic- resistant pathogens derived from animal products. The project used contemporary scientific technologies to investigate the genetics of chicken resistance to infectious disease. Genetic enhancement of the innate resistance of chicken populations provides a sustainable and ecologically sound approach to reduce microbial loads in agricultural populations. In turn, animals will be produced more efficiently with less need for drug treatment and will pose less of a potential food-safety hazard. Major achievements, conclusions and implications:. The PI and co-PIs had developed a refined research plan, aiming at the original but more focused objectives, that could be well-accomplished with the reduced awarded support. The successful conduct of that research over the past four years has yielded substantial new information about the genes and genetic markers that are associated with response to two important poultry pathogens, Salmonella enteritidis (SE) and Escherichia coli (EC), about variation of immunocompetence genes in poultry, about relationships of traits of immune response and production, and about interaction of genes with environment and with other genes and genetic background. The current BARD work has generated a base of knowledge and expertise regarding the genetic variation underlying the traits of immunocompetence and disease resistance. In addition, unique genetic resource populations of chickens have been established in the course of the current project, and they are essential for continued projects. The US laboratory has made considerable progress in studies of the genetics of resistance to SE. Microsatellite-marked chromosomal regions and several specific genes were linked to SE vaccine response or bacterial burden and the important phenomenon of gene interaction was identified in this system. In total, these studies demonstrate the role of genetics in SE response, the utility of the existing resource population, and the expertise of the research group in conducting such experiments. The Israeli laboratories had showed that the lines developed by selection for high or low level of antibody (Ab) response to EC differ similarly in Ab response to several other viral and bacterial pathogens, indicating the existence of a genetic control of general capacity of Ab response in young broilers. It was also found that the 10w-Ab line has developed, possibly via compensatory "natural" selection, higher cellular immune response. At the DNA levels, markers supposedly linked to immune response were identified, as well as SNP in the MHC, a candidate gene responsible for genetic differences in immunocompetence of chickens.
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Ntuen, Celestine A., and Robert Li. A Neural Network Model for Human Workload Simulation in Complex Human-Machine System. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada387288.

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Wozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort, and O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329795.

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Induced (anthropogenic) earthquakes are caused by reactivation of pre-existing faults due to human activities, including hydraulic fracturing and saltwater disposal. The Montney play, the pre-eminent shale gas play in Canada, contains localized regions with relatively high geological susceptibility to induced seismicity. Identification of potential seismogenic structures is hindered because published fault maps in the Montney play are often focused on small areas, leading to inconsistencies when these are compiled across the region. We have developed a regional framework based on structural corridors: complex, multi-strand faults systems. A three-step structural interpretation workflow was used, including seismic and structural interpretation along with trend surface analysis (TSA). This approach was used to identify 34 structural corridors in NE BC and NW Alberta.
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Pillay, Hitendra, and Brajesh Pant. Foundational ( K-12) Education System: Navigating 21st Century Challenges. QUT and Asian Development Bank, 2022. http://dx.doi.org/10.5204/rep.eprints.226350.

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Foundational education system commonly referred to as K-12 school education is fundamental for people to succeed in life as noted in United Nations declaration of human rights. Consequently, decades of investments have helped K-12 sector evolve and respond to new demands but many of the traditional thinking has remained and thus hinder agility and disruptive evolution of the system. In most countries the national school education systems are perhaps the largest single enterprise and subjected to socio-cultural, economic and political influences, which in turn make it reluctant and/or difficult to change the system. However, as the world transitions from industrial revolution to information revolution and now to knowledge economy, the foundational education sector has been confronted with several simultaneous challenges. The monograph reviews and analyses how these challenges may be supported in a system that is reliant on traditional rigid time frames and confronted by complex external pressures that are blurring the boundaries of the school education landscape. It is apparent that doing more of the same may not provide the necessary solutions. There is a need to explore new opportunities for reforming the school education space, including system structures, human resources, curriculum designs, and delivery strategies. This analytical work critiques current practices to encourage K-12 educators recognize the need to evolve and embrace disruptions in a culture that tends to be wary of change. The key considerations identified through this analytical work is presented as a set of recommendations captured under four broad areas commonly used in school improvement literature
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