Academic literature on the topic 'System of monitoring of the indicators'
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Journal articles on the topic "System of monitoring of the indicators"
Moguerza, Javier M., Salvador Perelló Oliver, Isaac Martín de Diego, Víctor Aceña, Carmen Lancho, Marina Cuesta, and César González Fernández. "Health Sufficiency Indicators for Pandemic Monitoring." International Journal of Environmental Research and Public Health 18, no. 10 (May 18, 2021): 5358. http://dx.doi.org/10.3390/ijerph18105358.
Full textBarylo, G. I., M. S. Ivakh, Z. M. Mykytiuk, and I. P. Kremer. "Optical-electronic monitoring system of biomedical indicators." Physics and Chemistry of Solid State 21, no. 4 (December 31, 2020): 779–84. http://dx.doi.org/10.15330/pcss.21.4.779-784.
Full textTrewin, Blair, Anny Cazenave, Stephen Howell, Matthias Huss, Kirsten Isensee, Matthew D. Palmer, Oksana Tarasova, and Alex Vermeulen. "Headline Indicators for Global Climate Monitoring." Bulletin of the American Meteorological Society 102, no. 1 (January 2021): E20—E37. http://dx.doi.org/10.1175/bams-d-19-0196.1.
Full textYasynska, Nadiia, Iryna Syrmamiikh, and Oksana Penez. "Monitoring the financial security of the Ukrainian banking sector in the context of system-deterministic challenges." Banks and Bank Systems 16, no. 2 (April 26, 2021): 12–26. http://dx.doi.org/10.21511/bbs.16(2).2021.02.
Full textTurisová, Renáta, Michal Tkáč, and Miloš Pachta. "Monitoring of process performance by means of financial indicators." Problems and Perspectives in Management 16, no. 3 (September 25, 2018): 477–87. http://dx.doi.org/10.21511/ppm.16(3).2018.38.
Full textSozinova, Anastasia A., and Nadezhda K. Savelyeva. "The system of indicators for marketing monitoring the reorganization of business structures." Vestnik of North-Ossetian State University, no. 2(2020) (June 25, 2020): 127–37. http://dx.doi.org/10.29025/1994-7720-2020-2-127-137.
Full textBohloli, Hamid, Shiva Mafimoradi, Masoomeh Gholami, Rahim Taghizadeh-asl, Christoph Hamelmann, Ardeshir Khosravi, and Charlotte Marchandise. "Sustainable Development Goals Realisation: A National Indicator Framework for Iranian Health Monitoring." Journal of Sustainable Development 15, no. 3 (March 1, 2022): 1. http://dx.doi.org/10.5539/jsd.v15n3p1.
Full textDenezhkina, I. Е., and D. А. Suzdaleva. "SYSTEM OF INDICATORS FOR MONITORING THE ECONOMIC SECURITY IN THE REGION." Strategic decisions and risk management, no. 3 (November 2, 2014): 96–101. http://dx.doi.org/10.17747/2078-8886-2011-3-96-101.
Full textBeroggi, Giampiero E. G., Volker G. Taube, and May Levy. "Statistical indicators for monitoring and controlling the ICT system." International Journal of Technology, Policy and Management 5, no. 1 (2005): 93. http://dx.doi.org/10.1504/ijtpm.2005.007245.
Full textMoore, Kristin Anderson, and Christina Theokas. "Conceptualizing a Monitoring System for Indicators in Middle Childhood." Child Indicators Research 1, no. 2 (March 18, 2008): 109–28. http://dx.doi.org/10.1007/s12187-008-9011-9.
Full textDissertations / Theses on the topic "System of monitoring of the indicators"
He, Zheng M. Eng Massachusetts Institute of Technology. "How should indicators be found for scenario monitoring ?" Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81093.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 76-78).
Scenario planning is a widely used approach for developing long-term strategies. The typical scenario process involves developing scenarios, identifying strategies whose success is contingent on the scenario, and monitoring the environment regularly to know which scenario(s) may become more likely. Hence it becomes necessary to find a way to monitor the business environment in order to inform the process of making strategic decisions under uncertainty. This thesis proposes to use a set of nested indicators to monitor environment. The approach consists of a seven-step process to build composite indicators and link them with scenarios. Individual indicators are selected based on intuitive theoretical frameworks. Different weights are assigned to individual indicators using factor analysis. And then composite indicators are built by linear aggregation of individual indicators. The composite indicators are used to assess the changes in the driving forces over time. Such changes serve as the basis for judging whether the level of the driving forces is high or low. Those levels are then used to infer which scenario is likely to come to pass. This thesis used a set of four scenarios to illustrate the application of the approach. Those scenarios were built for a chemical company's supply chain in Asian/Pacific region in 2025. The result suggested that the environment of the sub-region in the monitoring year was more like a "Collaborative World" or a mix of "Collaborative World" and "Demanding World". And it is more possible that the environment was evolving into those two scenarios instead of the others.
by Zheng He.
M.Eng.in Logistics
Xu, Xia M. Eng Massachusetts Institute of Technology. "How to Identify leading indicators for scenario monitoring." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92122.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (page 57).
Being able to quickly adapt to changes in the business environment has been widely acknowledged as essential for sustainable success by business leaders. Scenario planning is recognized as an effective tool used to explore ambiguous business environment dynamics over a long time horizon and identifying ways to translate uncertainty into potential future strategies. After the potential scenarios are developed and formulated into business strategies, the practical decision-making process then requires continuous review. Existing literature suggests that companies must actively monitor the business environment using appropriate indicators and understand their implications. This research specifically aims to develop a systematic, quantitative approach to identifying potential leading indicators for scenario monitoring. This approach is a framework that calculates correlation between various datasets from public databases, identifying, screening then consolidating the key driving forces of particular business scenarios. This process, in concert with a thorough qualitative assessment by business leader practitioners, enables an effective practice of scenario planning that allows the business to adapt its strategic long term plans in a constantly shifting global environment.
by Xia Xu.
M. Eng. in Logistics
DeNucci, Thomas W. "Diagnostic indicators for shipboard systems using non-intrusive load monitoring." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33576.
Full textIncludes bibliographical references (leaves 87-88).
Field studies have demonstrated that the Non-Intrusive Load monitor (NILM) can provide real-time indication of the condition of electro-mechanical systems on board naval vessels. Results from data collected from engineering systems on board USCGC SENECA (WMEC-906), a 270-foot U.S. Coast Guard cutter, indicate that the NILM can effectively identify faults, failures and deviations from normal operating conditions on numerous shipboard engineering systems. Data collected from the sewage system identified metrics that can be applied, for example, to cycling systems (high pressure air, hydraulic systems, etc.) to differentiate between periods of heavy usage and fault conditions. Sewage system variability and randomness was minimized by employing a MATLAB simulation designed to permit exploration of system behavior that might not have been exposed during other conditions. Simulation data suggests that the presence, location and magnitude of a spike in the pump run distribution indicated the presence of a leak. Data from the actual shipboard system, when subjected to a quantifiable leak, displayed the same behavior. Data collected from the Auxiliary Seawater (ASW) System indicated that the NILM is able to predict the failure of a flexible coupling linking the pump and motor components.
(cont.) The ASW motor-pump system was modeled using a 5th order induction motor simulation to explore the electro-mechanical relationships between the motor, coupling and pump. Changes to the mechanical parameters of the coupling were captured in the electrical signature of the motor in both the simulation and shipboard data. Frequency domain analysis of the ASW System data also suggested that the clogging of a heat exchanger on a critical shipboard system can be identified with the NILM, although the extent of diagnosis is dependent on the system flow patterns. Further development of hardware and software, along with continued research into the behavior of shipboard systems, will allow the NILM to augment existing monitoring systems and potentially serve as a stand-alone indicator of critical system performance.
by Thomas W. DeNucci.
S.M.
McKay, Thomas Duncan. "Diagnostic indicators for shipboard mechanical systems using non-intrusive load monitoring." Thesis, Monterey, California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2344.
Full textThis thesis examines the use of Non-intrusive Load Monitoring (NILM) in auxiliary shipboard systems, such as a low pressure air system, to determine the state of equipment in larger connected systems, such as the main propulsion engines. Using data collected on previously installed NILM's at the Naval Surface Warfare Center, Philadelphia DDG-51 Land Based Engineering Site (LBES), major event changes were analyzed and diagnosed using power data collected from the in-service low pressure air compressor (LPAC) and the in-service fuel oil pump. Events investigated include main propulsion engine starts and loadings, gas turbine generators starts, major electrical load shifts, and leak insertions into the low pressure air system. An additional NILM was installed on the General Electric LM2500 Universal Engine Controller (UEC) in order to assist in the diagnosis of various state changes. The UEC provides the appropriate interfaces to monitor and control each LM2500 GTM. The UEC controls the application of starter air, ignition power, and fuel to the engine while also receiving feedback of engine parameters from sensors on the engine. Using the combined data received by the LPAC, fuel oil pump, and UEC, a diagnosis system is derived that can detect major events in the engineering plant described above.
CIVINS
US Navy (USN) author
Brun, Emeric. "Key Performance Indicators for the monitoring of large-scale battery storage systems." Thesis, KTH, Energiteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263899.
Full textInom ramen för kampen mot klimatförändringar upplever elsektorn en fullständig förnyelse. Kraftnät genomgår en omvandling från centraliserade och enkelriktade system till flernivå och mer integrerade nätverk, bland annat införande av intermittenta förnybara energikällor på produktionssidan och med uppkomsten av nya konsumentbeteenden på efterfrågesidan. I detta sammanhang får batterilagringssystem fart. Deras utmärkta tekniska prestanda i kombination med ett fallande pris gör att dessa lagringslösningar är tillämpliga på flera skalor och applikationer, allt från elektrifiering av landsbygden till förstärkning av moderna elnät. Storskaliga batterilagringssystem är komplexa system för vilka de elektrokemiska cellerna endast är de grundläggande byggstenarna. Sådana lagringssystem består av en hierarkisk sammansättning av dessa celler, en komplex kontrollstruktur, en exakt termisk hantering och en reversibel kraftomvandlingsapparat, som samarbetar för att säkerställa en smidig och säker drift. För att hantera denna komplexitet behöver batterilagringssystem-ägare och operatörer syntetiska indikatorer för att snabbt utvärdera driften av deras lagringssystem. I detta arbete behandlas denna fråga om övervakning av storskaliga batterilagringssystem med ett urval, implementering och diskussion av viktiga resultatindikatorer. Efter en presentation av de flera komponenterna som utgör ett batterilagringssystem föreslås en översyn av de viktigaste resultatindikatorer som finns i litteraturen. Denna preliminära fas avslutades med definitionen av fyra huvudkategorier som täcker flera aspekter av driften av en BESS: drift, prestanda, åldrande och säkerhet. Vid behov gjordes ett val för att välja uppskattningstekniker som erbjuder bästa -ivavvägning mellan noggrannhet, enkel implementering och beräkningslast. Sedan presenterades den övergripande implementeringsstrategin som användes för att dra fördel av den stora mängden tillgängliga data. Resultaten erhölls för faktiska storskaliga Li-Ion BESS-projekt, som täcker flera applikationer och kemister. Baserat på dessa illustrativa resultat diskuterades indikatorernas robusthet och noggrannhet. Ännu viktigare var att särskild uppmärksamhet ägnades åt dessa resultatindikatorer metodik, betydelse och beroende av varandra för att möjliggöra för varje batteriägare att bättre förstå sitt system.
Hui, Ka Chun. "Voltage collapse indicators for on-line voltage security monitoring in power systems." Thesis, Imperial College London, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313312.
Full textMahasele, Phehello Anthony. "Monitoring and evaluation indicators of the HIV & AIDS programme in Grahamstown's public sector health care system." Thesis, Rhodes University, 2011. http://hdl.handle.net/10962/d1003248.
Full textGarman, Ian, and Ahmad Ahmad Haj. "Monitoring air quality indicators and energy consumption in Dalarnas Villa during operation of a demand-controlled exhaust ventilation system." Thesis, Högskolan Dalarna, Energiteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34470.
Full textKirkland, Benjamin T. "Geomorphologic evolution of a rapidly deteriorating barrier island system with multiple sediment sources: Eastern Isles Dernieres, Louisiana, 1887 to 2006." ScholarWorks@UNO, 2012. http://scholarworks.uno.edu/td/1564.
Full textSolorio, Rigoberto. "A WEB-BASED TEMPERATURE MONITORING SYSTEM FOR THE COLLEGE OF ARTS AND LETTERS." CSUSB ScholarWorks, 2015. https://scholarworks.lib.csusb.edu/etd/129.
Full textBooks on the topic "System of monitoring of the indicators"
Dixon, Tracy. National indicators for monitoring osteoarthritis, rheumatoid arthritis, and osteoporosis. Canberra: Australian Institute of Health and Welfare, 2006.
Find full textDixon, Tracy. National indicators for monitoring osteoarthritis, rheumatoid arthritis, and osteoporosis. Canberra: Australian Institute of Health and Welfare, 2006.
Find full textNaor, Ellen M. Indicators of potential family stress: Data from the pregnancy risk assessment monitoring system. Augusta, Me: Maine Dept. of Human Services, Office of Data, Research, and Vital Statistics, 1990.
Find full textInc, ebrary, ed. Monitoring HIV care in the United States: Indicators and data systems. Washington, D.C: National Academies Press, 2012.
Find full textUnited Nations. Economic and Social Commission for Asia and the Pacific. Monitoring reproductive health. New York: United Nations, 2000.
Find full textBank, Asian Development. Developing indicators and monitoring systems for environmentally livable cities in the People's Republic of China. Mandaluyong City, Metro Manila, Philippines: Asian Development Bank, 2014.
Find full textPeter, Anderson. Evaluation and monitoring of action on alcohol: Targets, indicators, and monitoring and reporting systems for action on alcohol. Copenhagen: World Health Organization, Regional Office for Europe, 1995.
Find full textJuhani, Lehto, and World Health Organization. Regional Office for Europe., eds. Evaluation and monitoring of action on alcohol: Targets, indicators and monitoring and reporting systems for action on alcohol. Copenhagen: Regional Office for Europe, World Health Organization, 1995.
Find full textGreaney, Vincent. Monitoring the learning outcomes of education systems. Washington, D.C: World Bank, 1996.
Find full textCunningham, James K. Risk indicator monitoring system (RIMS): Initial measures and findings : data report. [Santa Ana, CA]: County of Orange Health Care Agency, Office of Policy and Planning Coordination, 1992.
Find full textBook chapters on the topic "System of monitoring of the indicators"
Ward, Robert C. "Indicator Selection: A Key Element in Monitoring System Design." In Ecological Indicators, 147–57. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4659-7_11.
Full textConway, Sheila, Jeremy Aguero, and Irene L. Navis. "The Clark County Monitoring System – An Early Warning Indicator System for Clark County, Nevada." In Community Quality-of-Life Indicators: Best Cases III, 41–77. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2257-8_3.
Full textEasterling, W. E., and R. W. Kates. "Indexes of Leading Climate Indicators for Impact Assessment." In Long-Term Climate Monitoring by the Global Climate Observing System, 493–518. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0323-7_24.
Full textBrandt, Jane, and Nichola Geeson. "Desertification indicator system for Mediterranean Europe." In Monitoring and Modelling Dynamic Environments, 121–37. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118649596.ch6.
Full textSantos, Luis Delfim, and Isabel Martins. "The Monitoring System on Quality of Life of the City of Porto." In Community Quality-of-Life Indicators: Best Cases VI, 77–98. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6501-6_4.
Full textQamer, Faisal Mueen, Mir A. Matin, Ben Zaitchik, Kiran Shakya, Yi Fan, Nishanta Khanal, Walter Lee Ellenburg, et al. "A Regional Drought Monitoring and Outlook System for South Asia." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 59–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_4.
Full textModrušan, Nikola, Leo Mršić, and Kornelije Rabuzin. "Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators." In Communications in Computer and Information Science, 115–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83014-4_6.
Full textJones, Kate E., Jon A. Russ, Andriy-Taras Bashta, Zoltálan Bilhari, Colin Catto, István Csősz, Alexander Gorbachev, et al. "Indicator Bats Program: A System for the Global Acoustic Monitoring of Bats." In Biodiversity Monitoring and Conservation, 211–47. Oxford, UK: Wiley-Blackwell, 2013. http://dx.doi.org/10.1002/9781118490747.ch10.
Full textBeech, Craig, Marina Faber, Arlene Herbst, and Denton Joachim. "Toward a Spatial Monitoring and Evaluation System, Collecting Indicators to Map and Measure." In Technologies for Development, 173–83. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16247-8_17.
Full textRey, Emmanuel, Martine Laprise, and Sophie Lufkin. "An Operational Monitoring Tool." In Neighbourhoods in Transition, 143–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82208-8_9.
Full textConference papers on the topic "System of monitoring of the indicators"
Zhang, Guoquan. "Design on Cardiovascular System Indicators Monitoring Software for Undergraduate." In 2015 3rd International Conference on Machinery, Materials and Information Technology Applications. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icmmita-15.2015.193.
Full textCharles, Malcolm, Thomas N. Miano, Xinhe Zhang, Laura E. Barnes, and Jennifer M. Lobo. "Monitoring quality indicators for screening colonoscopies." In 2015 Systems and Information Engineering Design Symposium. IEEE, 2015. http://dx.doi.org/10.1109/sieds.2015.7116968.
Full textZheng, Dongjian, Xiaoqi Li, Ruixin Chen, and Lei Xu. "Models and Indicators Module in Dam Monitoring System for Application." In Thirteenth ASCE Aerospace Division Conference on Engineering, Science, Construction, and Operations in Challenging Environments, and the 5th NASA/ASCE Workshop On Granular Materials in Space Exploration. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412190.096.
Full textKuderina, Tatyana, Svetlana Suslova, Arseny Kudikov, and Vsevolod Lunin. "ATMOGEOCHEMICAL INDICATORS - INDICATORS OF FOREST - STEPPE LANDSCAPES DEGRADATION." In Land Degradation and Desertification: Problems of Sustainable Land Management and Adaptation. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1689.978-5-317-06490-7/116-120.
Full textKumargazhanova, Saule, Aizhan Erulanova, Gulzhan Soltan, Laura Suleimenova, and Gulnaz Zhomartkyzy. "System of indicators for monitoring the activities of an educational institution." In 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). IEEE, 2018. http://dx.doi.org/10.1109/usbereit.2018.8384580.
Full textFadhel Khelifa, Rihab, and Khaled Jelassi. "An energy monitoring and management system based on key performance indicators." In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2016. http://dx.doi.org/10.1109/etfa.2016.7733542.
Full textShklyarskiy, Andrey Y., Egor O. Zamyatin, and Julia V. Rastvorova. "Developing of electric power quality indicators evaluation and monitoring intellectual system." In 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2018. http://dx.doi.org/10.1109/eiconrus.2018.8317202.
Full textKazi, Lj, B. Radulovic, and Z. Kazi. "Performance indicators in software project monitoring: Balanced scorecard approach." In 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2012. http://dx.doi.org/10.1109/sisy.2012.6339539.
Full textHoflinger, Patrick Julian, and Eric Zimmerling. "Monitoring Gamification in International Patent Documents: Technology Classes, Firms and Preliminary Value Indicators." In 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE, 2016. http://dx.doi.org/10.1109/hicss.2016.167.
Full textDeNucci, T., R. Cox, S. B. Leeb, J. Paris, T. J. McCoy, C. Laughman, and W. C. Greene. "Diagnostic indicators for shipboard systems using non-intrusive load monitoring." In 2005 IEEE Electric Ship Technologies Symposium. IEEE, 2005. http://dx.doi.org/10.1109/ests.2005.1524708.
Full textReports on the topic "System of monitoring of the indicators"
Ruisi-Besares, Pia, Matthias Sirch, Alyx Belisle, James Duncan, Josephine Robertson, Jennifer Pontius, Danielle Cook, and Elissa Schuett. Technical Report on Assembling Indicators to Monitor Climate-Driven Change in Northeastern Forests. Forest Ecosystem Monitoring Cooperative, September 2021. http://dx.doi.org/10.18125/99o4tq.
Full textВодолєєва, І. С., А. О. Лазаренко, and В. М. Соловйов. Дослідження стійкості мультиплексних мереж під час кризових явищ. Видавець Вовчок О.Ю., 2017. http://dx.doi.org/10.31812/0564/1259.
Full textMcInerney, Michael K., and John M. Carlyle. : Demonstration of Acoustic Sensing Techniques for Fuel-Distribution System Condition Monitoring : Final Report on Project F07-AR07. Engineer Research and Developmenter Center (U.S.), January 2021. http://dx.doi.org/10.21079/11681/39560.
Full textRobinson, Andy. Monitoring and Evaluation for Rural Sanitation and Hygiene: Framework. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/slh.2021.027.
Full textRobinson, Andy. Monitoring and Evaluation for Rural Sanitation and Hygiene: Framework. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/slh.2021.025.
Full textLuparenko, Liliia. The Use of Electronic Open Journal Systems in Scientific and Pedagogic Research: Results of Experiment. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4465.
Full textBorrett, Veronica, Melissa Hanham, Gunnar Jeremias, Jonathan Forman, James Revill, John Borrie, Crister Åstot, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, December 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.
Full textHristodulo, Olga Igorevna, and Miliausha Ilgamovna Akhmetzianova. Development of a geo-information system for monitoring the attractiveness of municipalities using parametric, structural approaches (case of Republic of Bashkortostan). DOI CODE, 2021. http://dx.doi.org/10.18411/doicode-2021.003.
Full textJob, Jacob. Mesa Verde National Park: Acoustic monitoring report. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286703.
Full textYorulmaz, Merve, and Susanne Bührer-Topçu. The impact of Responsible Research and Innovation (RRI). A co-created template with a compilation of the scientific, societal and economic impacts of RRI. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.548.
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