Academic literature on the topic 'Area level models'

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Journal articles on the topic "Area level models"

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Torkashvand, Elaheh, Mohammad Jafari Jozani, and Mahmoud Torabi. "Clustering in small area estimation with area level linear mixed models." Journal of the Royal Statistical Society: Series A (Statistics in Society) 180, no. 4 (2017): 1253–79. http://dx.doi.org/10.1111/rssa.12308.

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Esteban, María Dolores, María José Lombardía, Esther López-Vizcaíno, Domingo Morales, and Agustín Pérez. "Small area estimation of proportions under area-level compositional mixed models." TEST 29, no. 3 (2019): 793–818. http://dx.doi.org/10.1007/s11749-019-00688-w.

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Esteban, M. D., D. Morales, A. Pérez, and L. Santamaría. "Small area estimation of poverty proportions under area-level time models." Computational Statistics & Data Analysis 56, no. 10 (2012): 2840–55. http://dx.doi.org/10.1016/j.csda.2011.10.015.

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Sugasawa, Shonosuke, Tatsuya Kubokawa, and Kota Ogasawara. "Empirical Uncertain Bayes Methods in Area-level Models." Scandinavian Journal of Statistics 44, no. 3 (2017): 684–706. http://dx.doi.org/10.1111/sjos.12271.

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Pereira, Luis N., and Pedro S. Coelho. "A Small Area Predictor under Area-Level Linear Mixed Models with Restrictions." Communications in Statistics - Theory and Methods 41, no. 13-14 (2012): 2524–44. http://dx.doi.org/10.1080/03610926.2011.648000.

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Boubeta, Miguel, María José Lombardía, and Domingo Morales. "Empirical best prediction under area-level Poisson mixed models." TEST 25, no. 3 (2015): 548–69. http://dx.doi.org/10.1007/s11749-015-0469-8.

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Lehto, J. M. S., and K.-A. Suominen. "Time-dependent two-level models and zero-area pulses." Physica Scripta 91, no. 1 (2015): 013005. http://dx.doi.org/10.1088/0031-8949/91/1/013005.

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Di Consiglio, Loredana, and Tiziana Tuoto. "A comparison of area level and unit level small area models in the presence of linkage errors." Statistics in Transition New Series 21, no. 4 (2020): 103–22. http://dx.doi.org/10.21307/stattrans-2020-033.

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Pereira, Luis Nobre, and Pedro Simões Coelho. "An Applied Comparison of Area-Level Linear Mixed Models in Small Area Estimation." Communications in Statistics - Simulation and Computation 42, no. 3 (2013): 671–85. http://dx.doi.org/10.1080/03610918.2011.654029.

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Morales, Domingo, and Laureano Santamaría. "Small area estimation under unit-level temporal linear mixed models." Journal of Statistical Computation and Simulation 89, no. 9 (2019): 1592–620. http://dx.doi.org/10.1080/00949655.2019.1590578.

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Dissertations / Theses on the topic "Area level models"

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Zhang, Qiong. "Small area quantile estimation under unit-level models." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62871.

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Sample surveys are widely used as a cost-effective way to collect information on variables of interest in target populations. In applications, we are generally interested in parameters such as population means, totals, and quantiles. Similar parameters for subpopulations or areas, formed by geographic areas and socio-demographic groups, are also of interest in applications. However, the sample size might be small or even zero in subpopulations due to the probability sampling and the budget limitation. There has been intensive research on how to produce reliable estimates for characteristics of
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Grant, Lauren. "Selecting Spatial Scale of Area-Level Covariates in Regression Models." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4151.

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Studies have found that the level of association between an area-level covariate and an outcome can vary depending on the spatial scale (SS) of a particular covariate. However, covariates used in regression models are customarily modeled at the same spatial unit. In this dissertation, we developed four SS model selection algorithms that select the best spatial scale for each area-level covariate. The SS forward stepwise, SS incremental forward stagewise, SS least angle regression (LARS), and SS lasso algorithms allow for the selection of different area-level covariates at different spatial
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Wanjoya, Antony Kibira. "A Flexible Characterization of models for small area estimation: Theoretical developments and Applications." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421673.

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The demand for reliable small area estimates derived from survey data has increased greatly in recent years due to, among other things, their growing use in formulating policies and programs, allocation of government funds, regional planning, small area business decisions and other applications. Traditional area-specific (direct) estimates may not provide acceptable precision for small areas because sample sizes are seldom large enough in many small areas of interest. This makes it necessary to borrow information across related areas through indirect estimation based on models, using auxiliary
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Warnholz, Sebastian [Verfasser]. "Small Area Estimation Using Robust Extensions to Area Level Models : Theory, Implementation and Simulation Studies / Sebastian Warnholz." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1112553045/34.

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Baldermann, Claudia [Verfasser]. "Robust Small Area Estimation under Spatial Non-Stationarity for Unit-Level Models : Theory and Empirical Results / Claudia Baldermann." Berlin : Freie Universität Berlin, 2017. http://d-nb.info/1147758182/34.

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Alanezi, Salwa. "Emission inventories from Kuwait petroleum refineries and respective ground level concentration of pollutants in the neighboring residential area." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12544.

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The State of Kuwait has three large refineries, namely, Mina Al Ahmadi Refinery, Mina Abdullah Refinery and Shuaiba Refinery. These refineries process and refine Kuwait Crude Oil through different process units. There are many heaters, boilers and flares that form a part of the complicated equipment which enhance the different petroleum processes. Fuel gas is used as a firing fuel for those heaters and boilers. As a result, stack emissions like SO2, NOx, CO are predominantly present in the flue gases and this study focuses on those emissions and their impact on the surrounding residential area
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Chiang, Yang-Sheng. "Estimating landscape level leaf area index and net primary productivity using field measurements, satellite imagery, and a 2-D ecophysiological model." Virtual Press, 2004. http://liblink.bsu.edu/uhtbin/catkey/1294241.

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This study has provided a landscape level estimate of leaf area index (LAI) and net primary productivity (NPP) for a temperate broadleaf forest ecosystem in south-central Indiana. The estimates were compared with the Moderate Resolution Imaging Spectroradiometer (MODIS) biophysical products LAI and NPP from both spatial and temporal perspectives. The evidence suggests that field-based estimates were poorly correlated with global MODIS data due to the simplifying assumptions of the MODIS global applicability, saturation problems of the red reflectance in highly vegetated areas, homogeneous land
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Nabe, Thembela W. "Enhancing service delivery at local government level: challenges and recommendations for the City of Cape Town." Thesis, University of the Western Cape, 2000. http://etd.uwc.ac.za/index.php?module=etd&amp.

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Domínguez, Morueco Noelia. "Environmental levels of PAHs and other SVOCs in a petrochemical area. Combining monitoring and modelling tools." Doctoral thesis, Universitat Rovira i Virgili, 2018. http://hdl.handle.net/10803/462909.

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En aquesta tesi s’ha avaluat la contaminació atmosfèrica com a conseqüència de la presència de contaminants orgànics semivolàtils (SVOCs) al camp de Tarragona. Aquesta àrea conté un dels complexes químics/petroquímics més gran del sud d’Europa. Entre els contaminants analitzats tenim als hidrocarburs aromàtics policíclics (PAHs), contaminants que s’emeten principalment per l’activitat humana (p.ex. refineries de petroli). Així mateix, també s’ha analitzat altres contaminants com els bifenils policlorats (PCBs), pesticides organoclorats (OCPs), retardants de flama bromats (BFRs) i fragàncies si
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Guzman, Pamela, Franklin Montalvo, Edgardo Carvallo, and Carlos Raymundo. "Implementation of a process management model and inventory control to increase the level of service in the after-sales area of industrial equipment." Latin American and Caribbean Consortium of Engineering Institutions, 2019. http://hdl.handle.net/10757/656260.

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Currently, many industrial companies generate many losses in their after sales this is generated to an error in the control of inventories and in turn in a mishandling of their assets through their processes, therefore the present research proposes a management model of processes and control of inventories in order to reduce customer losses due to the large number of existing complaints and thus increase sales. Therefore, the process management model, which will contribute to the standardization, optimization and control of its critical processes, and for which indicators, procedures and polic
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Books on the topic "Area level models"

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Delin, G. N. Simulation of effects of ground-water development on water levels in glacial-drift aquifers in the Brooten-Belgrade area, west-central Minnesota. U.S. Dept. of the Interior, U.S. Geological Survey, 1991.

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Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th
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Privalov, Nikolay. Household economics. Moral Economics. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1978025.

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The textbook on economics of a new type systematically combines the best traditions of "Household", classical political economy, other economic (German historical school, institutionalism) and non-economic disciplines (history, political science, sociology, cybernetics, biology, psychology, mathematics, law, etc.). The main methodological principle of interdisciplinary connections is consistency and focus on achieving balance at the level of an individual household. The main well—known models of household economics, family economics and human economic models are analyzed in the light of their
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Leonardi, Laura, ed. Flessicurezza/Flexiseguridad. Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-097-6.

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The strategy of flexicurity was adopted as a model by the European Union and proposed to all the Member States as a solution for addressing the challenges connected with the competitiveness and instability of the markets, with a view to enhancing employment levels and maintaining social cohesion. The various contributions in this book analyse the concept of flexicurity and its effective feasibility in different institutional contexts, in particular Italy and Spain and – at regional level – in Tuscany and Catalonia. The consequence of the variety of employment and social security models is that
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Nouri, Ali A. GIS-supported environmental assessment for landscape planning: Model and requirements on the regional and community levels for Iran : case study, Yakhkesh Area, Mazandaran Province, the Caspian Region. Cuvillier Verlag, 2008.

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Mastronardi, Luigi, and Luca Romagnoli, eds. Metodologie, percorsi operativi e strumenti per lo sviluppo delle cooperative di comunità nelle aree interne italiane. Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-168-6.

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The present essay includes the main results of the research project on community-based cooperatives, promoted in 2018 by Fondosviluppo and FEDAM, and implemented by researchers of University of Molise. The volume highlights the potential and the modes of operating of community-based cooperatives, which carry out a mix of productive and socially useful activities for local community well-being. The research, through a new methodological and operational path, reaches the following results: a) devise a strategy to detect the degree of social, economic and environmental vulnerability levels of Ita
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Voroncova, Anna, Svetlana Golicina, Dmitriy Voroncov, et al. Methodological support of educational processes. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1930676.

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The textbook reveals the essence, values and goals of methodological support of educational processes. The directions, models and subjects of this activity are determined. Special attention is paid to the content and organizational and institutional aspects of methodological support in educational organizations of different types and levels of education when working with different categories of children and in the context of various areas of educational activity. An attempt has been made to highlight modern forms and methods of methodological support for educational processes.
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Brega, Galina. Modern relations between government and business: foreign and domestic experience. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1841825.

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The monograph comprehensively examines the models and experience of interaction between government and business of the leading modern economic systems. Close attention is paid to the Russian specifics of relations between the state and the business community, starting with the characteristics of the institutional foundations and changing business conditions in Russia and ending with the problem of trust. Such aspects of the relationship as the leading role of the state in economic management, inconsistency of legislative regulation of entrepreneurial activity, excessive fiscal administration a
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Popov, Evgeniy, Viktoriya Simonova, Igor' Chelak, Pavel Minakir, and Boris Porfir'ev. The company's ecosystem. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1864513.

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The monograph is devoted to modeling the ecosystem of the company. The influence of social networks on the development of business processes is shown, the principles of the use of new digital communication technologies are given and the drivers of the economy in the conditions of the coronavirus pandemic are substantiated. The structure of industrial ecosystems in the digital economy is given, the economic effects of digitalization of inter-firm interactions are discussed, the idea of the network potential of a firm in the conditions of digitalization of economic activity is substantiated. The
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Pischik, Vlada, Tat'yana Chernousova, Margarita Postnikova, et al. The life of modern generations: socio-psychological trends. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1911533.

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The monograph includes studies of the last decades by a group of scientists engaged in solving problems of theoretical and methodological study of the problem of psychological manifestations of modern generations. The authors reflected the versatility of definitions of the concept of "generation" and revealed the multidimensional phenomenon of generations. The author's approach to the succession of generations deserves attention, which opens up prospects in the study of intergenerational relations. A level model of value-semantic mediation of intergenerational relations is presented, which all
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Book chapters on the topic "Area level models"

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Area-Level Poisson Mixed Models." In A Course on Small Area Estimation and Mixed Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_20.

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Esteban, María Dolores, Domingo Morales, and Agustín Pérez. "Area-level Spatio-temporal Small Area Estimation Models." In Analysis of Poverty Data by Small Area Estimation. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118814963.ch11.

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Area-Level Temporal Poisson Mixed Models." In A Course on Small Area Estimation and Mixed Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_21.

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Area-Level Temporal Linear Mixed Models." In A Course on Small Area Estimation and Mixed Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_17.

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Area-Level Bivariate Linear Mixed Models." In A Course on Small Area Estimation and Mixed Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_19.

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Pagliarella, Maria Chiara, and Renato Salvatore. "Unit Level Spatio-temporal Models." In Analysis of Poverty Data by Small Area Estimation. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118814963.ch12.

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Area-Level Spatio-Temporal Linear Mixed Models." In A Course on Small Area Estimation and Mixed Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_18.

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Esteban, M. D., D. Morales, A. Pérez, and L. Santamaría. "Area-Level Time Models for Small Area Estimation of Poverty Indicators." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14746-3_29.

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "EBPs Under Unit-Level Logit Mixed Models." In A Course on Small Area Estimation and Mixed Models. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_14.

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Di Cosmo, Lucio. "Plot Level Estimation Procedures and Models." In Springer Tracts in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98678-0_6.

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AbstractQuantitative variable raw data recorded in the sample plots require pre-processing before the NFI estimators of totals and densities can be used to produce statistics. The objective of the plot level estimates is to estimate the variables of interest for each sample point expanded to the 1 km2 area of the cell that the point represents. The intensity and complexity of the computations vary considerably depending on the variable, the way it is obtained by the measured items (e.g., DBH measurement vs. basal area), whether all the items in the sample plot or only a subsample of them are m
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Conference papers on the topic "Area level models"

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Riemer, Douglas P., and Mark E. Orazem. "Application of Boundary Element Models to Predict the Effectiveness of Coupons for Accessing Cathodic Protection of Buried Structures." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00488.

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Abstract Mathematical models were used to explore the conditions under which a coupon provides a conservative assessment of the level of cathodic protection provided to holidays on coating buried structures. The most conservative assessment of cathodic protection was obtained when the area of the coupon was larger than the area of the largest expected holiday. The performance of the coupon as a monitor of cathodic protection was found to be strongly influenced by the availability of oxygen in the soil.
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Jiang, Tianyi, Xiaoyong Tang, and Prith Banerjee. "Macro-models for high level area and power estimation on FPGAs." In Proceedins of the 14th ACM Great Lakes symposium. ACM Press, 2004. http://dx.doi.org/10.1145/988952.988992.

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RYDNINGEN, ULF, GEIR TORGERSEN, and JARLE TOMMY BJERKHOLT. "CATEGORISING AREA MODELS FOR STORMWATER FEES AT PROPERTY LEVEL: A LITERATURE REVIEW." In FRIAR 2022. WIT Press, 2022. http://dx.doi.org/10.2495/friar220081.

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Ford, Matthew, Peter Matic, and Alan Leung. "Expanding Helmet Design Methodologies Through Brain Functional Area Representative Threat Models." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64959.

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In combat zones, warfighters may be exposed to multiple threat types that can result in impacts to the head. These head impacts can lead to traumatic brain injury (TBI) or other functional or cognitive impairments, depending on the impact location, duration, and severity. Personal protective equipment mitigates the damage to the head, and current equipment design efforts focus on high-level protective metrics such as local helmet deformations and penetrations, as well as global accelerations or rotations of the head. Advances in brain imaging and mapping have made it possible to couple brain r
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Johnson, Emma. "Rationalizing the importance of business models for sustainability transitions: A conceptual exploration of incumbents and business model innovation." In New Business Models 2023. Maastricht University Press, 2023. http://dx.doi.org/10.26481/mup.2302.10.

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The current way of consumption and production is unsustainable in that society is exceeding the earth’s planetary boundaries and creating long-term and irreversible effects on an environmental, social, and economic level. There is a recognized need on all system levels to change the way that we operate. Industry is a key area that requires this attention, as it is largely responsible for the impacts from the production of various societal needs and functions. In particular, the building and construction industry accounts for about 37% of global CO2 emissions. Rapid decarbonization is needed, a
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Stafford, Jason, Ronan Grimes, and David Newport. "Development of Compact Thermal-Fluid Models at the Electronic Equipment Level." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63128.

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The introduction of compact thermal models (CTM) into CFD codes has significantly reduced computational requirements when representing complex, multi-layered, and orthotropic heat generating electronic components in the design of electronic equipment. This study develops a novel procedure for generating compact thermal-fluid models (CTFM) of electronic equipment that are independent over a boundary condition set. This boundary condition set is estimated based on the information received at the preliminary design stages of a product. In this procedure, CFD has been used to generate a detailed m
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Crandall, Dustin, Goodarz Ahmadi, and Duane Smith. "Measurement of Interfacial Area Production and Permeability Within Porous Media." In ASME 2010 8th International Conference on Nanochannels, Microchannels, and Minichannels collocated with 3rd Joint US-European Fluids Engineering Summer Meeting. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-30214.

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An understanding of the pore-level interactions that affect multi-phase flow in porous media is important in many subsurface engineering applications, including enhanced oil recovery, remediation of dense non-aqueous liquid contaminated sites, and geologic CO2 sequestration. Standard models of two-phase flow in porous media have been shown to have several shortcomings, which might partially be overcome using a recently developed model based on thermodynamic principles that includes interfacial area as an additional parameter. A few static experimental studies have been previously performed, wh
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Ayar, Aysu, Fatih Üneş, Bestami Taşar, and Hakan Varçin. "Lake Water Level Estimation with Artificial Intelligence Methods." In Air and Water – Components of the Environment 2025 Conference Proceedings. Casa Cărţii de Ştiinţă, 2025. https://doi.org/10.24193/awc2025_11.

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With the decrease in water resources due to climate change, dam reservoir level estimation is important in terms of the construction, operation, design and safety of dams. In this study, average air temperature (T), relative humidity (SR), and precipitation (P) parameters were used for lake water level estimation. Thurmond Lake in McCormick County, South Carolina, USA was selected as the study area. 1286 daily data measured in real time between 2017-2023 were used as the study data. M5 Decision Tree (M5 Tree), Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) mo
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ŞENTÜRK, Özden Nur, Mustafa DEMİRCİ, Yunus Ziya KAYA, and Hasan GUZEL. "Dam Lake Water Level Estimation Using Different Artificial Intelligence Methods." In Air and Water – Components of the Environment 2025 Conference Proceedings. Casa Cărţii de Ştiinţă, 2025. https://doi.org/10.24193/awc2025_12.

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Dam reservoir level estimation is important for the construction, operation, design and safety of dams. In this study, dam reservoir level change estimations were investigated using Multi Linear Regression (MLR), M5 Decision Tree (M5 Tree) and Artificial Neural Network (ANN) models. Tuscaloosa Lake in Alabama, USA was selected as the study area. In determining the daily dam reservoir water level , daily stream flow and daily proecipitation height parameters were used. Models were analyzed using graphical and statistical results. In the comparison of prediction models, performance criteria such
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Pérez Castán, Javier Alberto. "How do Continuous Climb Operations affect the capacity of a Terminal Manoeuvre Area?" In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.3525.

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Continuous climb operations are the following step to optimise departure trajectories with the goals of minimizing fuel consumption and pollutants and noise emissions in the airports neighbourhood, although due to intrinsic nature of these procedures, the integration of these procedures need to develop a new framework for airline operators and air traffic control. Based on the BADA model developed by EUROCONTROL, three activities have been carried out: simulation of several continuous climbs for three aircraft types (Light, Medium and Heavy), analysation of different applied separations throug
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Reports on the topic "Area level models"

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Danielson, Thomas. PORFLOW Implementation of Special Waste from Models for Slit and Engineered Trenches in the E-Area Low Level Waste Facility Performance Assessment. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1630270.

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Burriel, Pablo, Mar Delgado-Téllez, Camila Figueroa, Iván Kataryniuk, and Javier J. Pérez. Estimating the contribution of macroeconomic factors to sovereign bond spreads in the euro area. Banco de España, 2024. http://dx.doi.org/10.53479/36257.

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This paper proposes a novel approach to estimating the contribution of macroeconomic factors to sovereign spreads in the euro area, defined as the spread level consistent with the country’s prevailing macroeconomic conditions. Despite the wealth of papers estimating sovereign spreads, model-dependency and lack of robustness remain key considerations. Accordingly, we propose a “thick modeling” empirical framework, based on the estimation of a wide range of models. We focus on 10-year sovereign bond yields for nine euro area countries, using a sample that covers the period January 2000 to Decemb
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Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. USDA Southwest Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6947062.ch.

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Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altering species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to soc
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Lines, Lisa M., Marque C. Long, Jamie L. Humphrey, et al. Artificially Intelligent Social Risk Adjustment: Development and Pilot Testing in Ohio. RTI Press, 2022. http://dx.doi.org/10.3768/rtipress.2022.rr.0047.2209.

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Prominent voices have called for a better way to measure, predict, and adjust for social factors in healthcare and population health. Local area characteristics are sometimes framed as a proxy for patient characteristics, but they are often independently associated with health outcomes. We have developed an “artificially intelligent” approach to risk adjustment for local social determinants of health (SDoH) using random forest models to understand life expectancy at the Census tract level. Our Local Social Inequity score draws on more than 150 neighborhood-level variables across 10 SDoH domain
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5

Ahmad, Noshin S., Raul Pineda-Mendez, Fahad Alqahtani, Mario Romero, Jose Thomaz, and Andrew P. Tarko. Effective Design and Operation of Pedestrian Crossings. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317438.

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Pedestrians are vulnerable road users since they are prone to more severe injuries in any vehicular collision. While innovative solutions promise improved pedestrian safety, a careful analysis of local conditions is required before selecting proper corrective measures. This research study had two focuses: (1) methodology to identify roads and areas in Indiana where the frequency and severity of pedestrian collisions are heightened above the acceptable level, and (2) selecting effective countermeasures to mitigate or eliminate safety-critical conditions. Two general methods of identifying speci
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6

Wyndham, Amber, Emile Elias, Joel R. Brown, Michael A. Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. United States. Department of Agriculture. Southwest Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6876399.ch.

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Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability resulting in decreased plant productivity and altering species composition which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to socia
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7

Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. USDA Southwest Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6965584.ch.

Full text
Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability resulting in decreased plant productivity and altering species composition which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to socia
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Bynum, Nora, Arlyne Johnson, and Madhu Rao. Assessing Threats In Conservation Planning And Management. American Museum of Natural History, 2006. http://dx.doi.org/10.5531/cbc.ncep.0172.

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This module reviews the role of assessing threats in setting conservation targets, identifying priority strategies, and determining their effectiveness. It includes an overview of the use of threat assessment in conservation planning by focusing on species-level and global-, regional- and local (site)-level priority setting. The synthesis also reviews two planning tools used in site conservation—conceptual models and The Nature Conservancy’s 5 “S” approach. The second part of the synthesis reviews the role of threat assessment in measuring management effectiveness with reference to monitoring
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Wyndham, Amber, Emile Elias, Joel R. Brown, Michael A. Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands in Southeast Arizona and Southwest New Mexico’s Major Land Resource Area 41. United States. Department of Agriculture. Southwest Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6818230.ch.

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Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altered species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to soci
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Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands in Southeast Arizona and Southwest New Mexico’s Major Land Resource Area 41. USDA Southwest Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6947060.ch.

Full text
Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altered species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to soci
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