Literatura académica sobre el tema "ARLD model"
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Artículos de revistas sobre el tema "ARLD model"
Yadav, Dipesh Kumar, Qi Zhang, Xueli Bai, Enliang Li y Tingbo Liang. "Liver Transplantation for Alcohol-Related Liver Disease (ARLD): An Update on Controversies and Considerations". Canadian Journal of Gastroenterology and Hepatology 2020 (17 de septiembre de 2020): 1–6. http://dx.doi.org/10.1155/2020/8862152.
Texto completoChou, Chun-Mei, Tsu-Chi Shen, Tsu-Chuan Shen, Chien-Hua Shen y Tzu-Ling Liu. "LEARNING EFFECTIVENESS AMONG TERTIARY STUDENTS USING AUGMENTED REALITY (AR)-BASED FOR ADAPTING TO INDUSTRY 4.0". MATTER: International Journal of Science and Technology 9 (30 de diciembre de 2023): 127–41. http://dx.doi.org/10.20319/mijst.2023.9.127141.
Texto completoMutmainah, Isbandriyati. "The Impact of Final Demand arld Prices on Indonesia's Total - Import: Cointegration and Error Correction Model Analysis". Jurnal Ekonomi dan Pembangunan Indonesia 9, n.º 2 (1 de enero de 2009): 109–25. http://dx.doi.org/10.21002/jepi.v9i2.161.
Texto completoAsante Antwi, Henry, Lulin Zhou, Xinglong Xu y Tehzeeb Mustafa. "A Comparative Analysis of Impact of Universal Two-Child Policy on Maternity Insurance Fund in Jiangsu Province and Guangxi Zhuang AR". Healthcare 9, n.º 4 (15 de abril de 2021): 468. http://dx.doi.org/10.3390/healthcare9040468.
Texto completoMirović, Vera, Branimir Kalaš y Milica Inđić. "The determinants of government expenditures in Serbia: The application of ARDL model". Anali Ekonomskog fakulteta u Subotici, n.º 00 (2023): 20. http://dx.doi.org/10.5937/aneksub2300020m.
Texto completoLee, Kyung Hee y Kyung Soo Kim. "Estimation of Tourism Demand using ARDL model". Korean Corporation Management Review 24, n.º 4 (31 de agosto de 2017): 59–74. http://dx.doi.org/10.21052/kcmr.2017.24.4.03.
Texto completoMas, André y Besnik Pumo. "The ARHD model". Journal of Statistical Planning and Inference 137, n.º 2 (febrero de 2007): 538–53. http://dx.doi.org/10.1016/j.jspi.2005.12.006.
Texto completoFazli, S. y H. Noor. "Storm-wise sediment yield prediction using hillslope erosion model in semi-arid abundant lands". Soil and Water Research 8, No. 1 (6 de febrero de 2013): 42–48. http://dx.doi.org/10.17221/27/2012-swr.
Texto completoRodrigues, Regiane Lopes y Michele Veríssimo. "Evidências de desindustrialização setorial no Brasil: uma análise por modelos ARDL". Economia e Sociedade 32, n.º 2 (mayo de 2023): 355–81. http://dx.doi.org/10.1590/1982-3533.2023v32n2art05.
Texto completoChananet, C., S. Sukparungsee y Y. Areepong. "The ARL of EWMA Chart for Monitoring ZINB Model Using Markov Chain Approach". International Journal of Applied Physics and Mathematics 4, n.º 4 (2014): 236–39. http://dx.doi.org/10.7763/ijapm.2014.v4.290.
Texto completoTesis sobre el tema "ARLD model"
Hlongwane, Tshembhani Mackson. "The effect of South African public debt on economic growth: An ARDL cointegration approach from 1961-2017". University of Western Cape, 2019. http://hdl.handle.net/11394/7927.
Texto completoThis study investigates the effect of public debt on economic growth in South Africa since 1961-2017. Public debt stock is disaggregated into external debt and domestic debt in order to determine the effect of each on economic growth independently. The study employed the ARDL bound test to estimate the long and short run relationship among several macroeconomic variables - real economic growth, domestic debt, external debt, budget deficit, inflation rate and investment. An error correction model was used to analyses the short-run disequilibrium. The results show that there is a short and long run equilibrium relationship between foreign debt, domestic debt, budget deficit, inflation rate and economic growth. The empirical results indicate that external debt negatively affects the real GDP growth in South Africa, both in the short and long-run. Several policy implications emerged from the empirical results. To keep public debt more manageable, South Africa should improve its debt management. Furthermore, the country can make use of debt to equity swaps by privatizing underperforming parastatals. This would make them competitive and efficient.
Nacanabo, Amade. "Impact des chocs climatiques sur la sécurité alimentaire dans les pays sahéliens : approches macroéconomiques et microéconomiques". Electronic Thesis or Diss., Toulon, 2021. http://www.theses.fr/2021TOUL2007.
Texto completoOften used metaphorically to refer to the southern fringes of the Sahara, the Sahel's geographical position makes it a region vulnerable to climate change. Agriculture is highly rain-fed and largely dependent on climatic conditions. If food security is to be achieved in the Sahel, climate change must be taken into account. By combining empirical and theoretical work, this thesis aims to contribute to a better understanding of the impact of climate change on food security in the Sahel at the microeconomic and macroeconomic levels. The first chapter examines the food security situation in the Sahel at the macroeconomic level, after analysing its demographic dynamism. The results of this chapter show that the Sahel has not yet begun its demographic transition. The demographic growth rate is high compared with the average for sub-Saharan Africa. Undernourishment is on the decline, but remains prevalent in the region. Reducing undernourishment necessarily involves agricultural production, which is dependent on the vagaries of the climate. The second chapter therefore looks at the effects of climate change on the yields of certain crops (millet, sorghum and maize) in the Sahel. The results indicate that climate change is having an overall negative impact on agricultural yields in the Sahel. This analysis at the macroeconomic level is then supplemented by two chapters which, at the microeconomic level, focus on the behaviour of farmers in the Sahel. The third chapter seeks to analyse the impact of climatic shocks, as measured by farmers' perceptions, on the inefficiency of agricultural plots. This study shows that climatic shocks increase the inefficiency of agricultural plots. Through lower yields and plot inefficiency, climate change may affect the poverty and food vulnerability of Burkinabé farming households. To this end, the fourth chapter identifies the individual and contextual determinants of poverty and food vulnerability among farming households in Burkina Faso. The results show that, in addition to the individual characteristics of farm households, such as their size or the level of education of the head of household, the climatic context in which they live helps to explain their poverty and food vulnerability
Torres, Luís Filipe Nunes Pardal Esteves. "Modelling the demand for military expenditure in Portugal". Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/6540.
Texto completoThroughout history, countries from all over the world have devoted a considerable amount of resources to produce security. This evidence has motivated a growing number of studies that examine the determinants of the demand for military expenditure. Albeit the difficulty to develop a general theoretical framework and the inexistence of a standard empirical approach to model the demand for military expenditure, it is an important issue to understand which factors may influence the military expenditure demand function of a country. The aim of this dissertation is to find out the main variables affecting the Portuguese military expenditure taking into account a comprehensive set of economic, strategic and political determinants. For this goal, a military expenditures demand model is constructed for the period 1960–2010 employing the Autoregressive Distributed Lag (ARDL) bound testing cointegration approach. The results suggest that the Portuguese defence spending is determined by the country´s economic performance, allies‟ defence speeding and security considerations. As far as the domestic political environment is concerned, the dominant ideology of the party in power seems to be insignificant, while the transition to a democratic regime is considered a relevant determinant with a negative effect on the military expenditure.
Ao longo da história, países de todo o mundo têm empenhado uma quantidade considerável de recursos para produzir segurança. Esta constatação tem motivado um número crescente de estudos sobre as possíveis variáveis explicativas da despesa militar. Apesar da dificuldade em estabelecer um quadro teórico de referência e da inexistência de uma abordagem empírica padronizada para determinar a procura de despesa militar, revela-se importante compreender quais as variáveis que influenciam a despesa militar de um país. O objetivo deste trabalho é aferir quais as principais fatores que poderão determinar a despesa militar de Portugal, tendo em conta um amplo conjunto de variáveis de natureza económica, estratégica e política. A prossecução deste objetivo assenta na construção de uma equação de procura para a despesa militar portuguesa, para o período compreendido entre 1960 e 2010, através de um modelo uniequacional ARDL. Os resultados obtidos sugerem que a despesa militar em Portugal é determinada pelo desempenho económico, pelo gasto militar de países aliados e por considerações relativas à perceção das condições de segurança. No que respeita à influência do ambiente político, a ideologia dominante do partido em funções no Governo surge como não significante, ao passo que a transição para um regime democrático é considerada uma variável relevante, com um efeito negativo sobre as despesas militares.
Popp, Alexander. "An integrated modelling approach for sustainable management of semi-arid and arid rangelands". Phd thesis, kostenfrei, 2007. http://opus.kobv.de/ubp/volltexte/2007/1510/.
Texto completoHagi-Bishow, Mohamed. "Assessment of LEACHM-C model for semi-arid saline irrigation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0007/MQ44178.pdf.
Texto completoBryson, Louise Kay. "An erosion and sediment delivery model for semi-arid catchments". Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/2892.
Texto completoImam, Bisher 1960. "Evaluation of disaggregation model in arid land stream flow generation". Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277033.
Texto completoVerstraete, Michel M. "A soil-vegetation-atmospere model for microclimatological research in arid regions". Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/57626.
Texto completoMicrofiche copy available in Archives and Science.
Bibliography: leaves 163-167.
by Michel M. Verstraete.
Sc.D.
Washburne, James Clarke. "A distributed surface temperature and energy balance model of a semi-arid watershed". Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186800.
Texto completoARRAS, CLAUDIO. "THREE DIMENSIONAL GEOLOGICAL MAPPING AND GROUNDWATER MODEL CALIBRATION FOR MANAGED AQUIFER RECHARGE (MAR) TECHNIQUES IN ARID AND SEMI-ARID ENVIRONMENTS". Doctoral thesis, Università degli Studi di Cagliari, 2017. http://hdl.handle.net/11584/249703.
Texto completoLibros sobre el tema "ARLD model"
Groundwater modelling in arid and semi-arid areas. New York: Cambridge University Press, 2010.
Buscar texto completoHoward, Wheater, Sorooshian Soroosh y Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge: Cambridge University Press, 2008.
Buscar texto completoHoward, Wheater, Sorooshian Soroosh y Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge: Cambridge University Press, 2008.
Buscar texto completoSalugin, A. N. Matematicheskie modeli dinamiki i prognoza ėvoli︠u︡t︠s︡ii aridnykh ėkosistem. Volgograd: VNIALMI, 2006.
Buscar texto completoHromadka, Theodore V. Hydrologic modeling for the arid southwest United States. Mission Viejo, CA: Lighthouse Publications, 1996.
Buscar texto completoKhazai, Esmail. A conceptual model representing arid regions catchment with emphasis on groundwater recharge. Birmingham: University of Birmingham, 1997.
Buscar texto completo1949-, Gísli Pálsson y Workshop on Symbols and Resource Management in African Arid Lands (1989 : Helsinki, Finland), eds. From water to world-making: African models and arid lands. Uppsala: Scandinavian Institute of African Studies, 1990.
Buscar texto completoMiller, Mark Eugene. The structure and functioning of dryland ecosystems--conceptual models to inform long-term ecological monitoring. Reston, Va: U.S. Geological Survey, 2005.
Buscar texto completoAgoramoorthy, Govindasamy. Sadguru model of rural development mitigates climate change in India's drylands. New Delhi: Daya Publishing House, a division of Astral International Pvt. Ltd., 2015.
Buscar texto completoS, Kingwell R. y Pannell D. J, eds. MIDAS, a bioeconomic model of a dryland farm system. Wageningen, Netherlands: Pudoc, 1987.
Buscar texto completoCapítulos de libros sobre el tema "ARLD model"
Timmermann, Barbara N. y Joseph J. Hoffmann. "Resins from Grindelia: a model for renewable resources in arid environments". En Plants for Arid Lands, 357–68. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-6830-4_26.
Texto completoGałecki, Andrzej y Tomasz Burzykowski. "ARMD Trial: Linear Model with Homogeneous Variance". En Springer Texts in Statistics, 113–21. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3900-4_6.
Texto completoGałecki, Andrzej y Tomasz Burzykowski. "ARMD Trial: Linear Model with Heterogeneous Variance". En Springer Texts in Statistics, 159–73. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3900-4_9.
Texto completoArsene, Corneliu T. C., Paulo J. Lisboa y Elia Biganzoli. "Model Selection with PLANN-CR-ARD". En Advances in Computational Intelligence, 210–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21498-1_27.
Texto completoSaber, Mohamed, Sameh A. Kantoush, Mohammed Abdel-Fattah, Tetsuya Sumi, Jose Andres Moya y Karim Abdrabo. "Flash Flood Modeling and Mitigation in Arid and Semiarid Basins: Case Studies from Oman and Brazil". En Natural Disaster Science and Mitigation Engineering: DPRI reports, 355–81. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_13.
Texto completoRushton, K. R. "Numerical and Conceptual Models for Recharge Estimation in Arid and Semi-Arid Zones". En Estimation of Natural Groundwater Recharge, 223–38. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7780-9_14.
Texto completoMontenegro, Gloria, Miguel Gómez, Ana Maria Mujica y Barbara N. Timmermann. "Theoretical Models for Regeneration of Medicinal Plants and Their Application in Sustainable Wild-Harvesting". En Conserving Biodiversity in Arid Regions, 275–89. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0375-0_19.
Texto completodu Plessis, Erna, Tilahun Workneh y Mark Laing. "Greenhouse Cooling Systems and Models for Arid Climate". En Sustainable Agriculture Reviews, 181–215. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21629-4_6.
Texto completoSharief, S. M. V. y Mohammad Zakwan. "Groundwater Remediation Design Strategies Using Finite Element Model". En Groundwater Resources Development and Planning in the Semi-Arid Region, 107–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68124-1_6.
Texto completoNajafi, Payam y Kamran Asgari. "Forecasting Crop Water Requirement By Et-Hs model For Arid and Semi Arid Region of Iran". En IFIP Advances in Information and Communication Technology, 529–36. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0209-2_54.
Texto completoActas de conferencias sobre el tema "ARLD model"
Peng, Hongchun, Haiying Li, Xin Li, Wanchang Zhang y Yanhua Chen. "Mapping LAI using BRDF model in arid and semi-arid Northwestern China". En Remote Sensing, editado por Manfred Ehlers y Ulrich Michel. SPIE, 2006. http://dx.doi.org/10.1117/12.689641.
Texto completoKinanu, Grace Safari, Dasel Wambua Mulwa Kaindi, Prof Wambui Kogi-Makau y Dr Diana Mwendwa Marangu. "Pearl Millet and Honey Bee Brood: A Systematic Review on Nutritional Composition, and Other Characteristics with Combination Advantage to Model A Supplement". En 3rd International Nutrition and Dietetics Scientific Conference. KENYA NUTRITIONISTS AND DIETICIANS INSTITUTE, 2023. http://dx.doi.org/10.57039/jnd-conf-abt-2023-f.s.d.h.l-16.
Texto completoHou, Danlin, Ibrahim Galal Hassan y Liangzhu (Leon) Wang. "Bayesian Inference Calibration of Building Energy Models for Arid Weather". En ASME 2021 Verification and Validation Symposium. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/vvs2021-65256.
Texto completoAlhamad, Mohammad N. y Shefaa M. Abdullah. "MODELING OF RANGELAND ECOSYSTEMS IN NORTHERN JORDAN". En 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/3.1/s12.12.
Texto completoSun, Yuan, Xing-fa Gu, Tao Yu, Feng Zhao, Xing-feng Chen, Hai-liang Gao y Juan Li. "Research on 3D canopy's reflectance model of semi-arid grassland". En IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5652658.
Texto completoBalajee, J., U. Kumaran B. Haritha, Appakonda Srinadh Reddy, Kompalli Mounika y K. Siva Kumar. "Pulmonary Chest Nodule Detection through Adaptive Reinforcement Learning Model (ARLM)". En 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). IEEE, 2023. http://dx.doi.org/10.1109/iceeict56924.2023.10157008.
Texto completoSpooner, Thomas y Rahul Savani. "Robust Market Making via Adversarial Reinforcement Learning". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/633.
Texto completoJia, Bingyan, Danlin Hou, Liangzhu (Leon) Wang y Ibrahim Galal Hassan. "Estimation of Room-Level Cooling Energy in Hot/Arid Climate by Machine Learning-Based Approaches". En ASME 2021 Verification and Validation Symposium. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/vvs2021-65272.
Texto completoBalcılar, Mehmet, Harun Bal, Neşe Algan y Mehmet Demiral. "Turkey’s Export Performance: Examining the Main Determinants of Export Volume (1995-2012)". En International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00774.
Texto completoHamid, Mohd Fahmi Abdul y Ani Shabri. "Palm oil price forecasting model: An autoregressive distributed lag (ARDL) approach". En THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982864.
Texto completoInformes sobre el tema "ARLD model"
Dixon, Jason. An Evaluation of Unsaturated Flow Models in an Arid Climate. Office of Scientific and Technical Information (OSTI), diciembre de 1999. http://dx.doi.org/10.2172/759261.
Texto completoZiegler, Nancy, Nicholas Webb, John Gillies, Brandon Edward, George Nikolich, Justin Van Zee, Brad Cooper, Dawn Browning, Ericha Courtright y Sandra LeGrand. Plant phenology drives seasonal changes in shear stress partitioning in a semi-arid rangeland. Engineer Research and Development Center (U.S.), septiembre de 2023. http://dx.doi.org/10.21079/11681/47680.
Texto completoLinker, Raphael, Murat Kacira, Avraham Arbel, Gene Giacomelli y Chieri Kubota. Enhanced Climate Control of Semi-arid and Arid Greenhouses Equipped with Fogging Systems. United States Department of Agriculture, marzo de 2012. http://dx.doi.org/10.32747/2012.7593383.bard.
Texto completoDrysdale, Andrew W. U.S. Army Research Laboratory (ARL) DESCENT Model Roadmap: Current Scope and Near-Term Extensions. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2013. http://dx.doi.org/10.21236/ada589953.
Texto completoPalatiello, Brett y Philip Pinkington. Government Deficits and Interest Rates: A Keynesian View. Institute for New Economic Thinking Working Paper Series, abril de 2022. http://dx.doi.org/10.36687/inetwp183.
Texto completoDeb Pal, Barun, Shalander Kumar y Elias Khan Patan. Investment planning to minimize climate risk in agricultural production: An optimization model for a semi-arid region in India. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.134192.
Texto completoLast, G. V. y V. J. Rohay. Refined conceptual model for the Volatile Organic Compounds-Arid Integrated Demonstration and 200 West Area Carbon Tetrachloride Expedited Response Action. Office of Scientific and Technical Information (OSTI), marzo de 1993. http://dx.doi.org/10.2172/10151709.
Texto completoWhitehead, Martha, Dale Askey, Donna Bourne-Tyson, Karen Estlund, Susan Haigh, Claire Stewart, Kornelia Tancheva, Tyler Walters, Jennifer Muilenburg y Judy Ruttenberg. ARL/CARL Joint Task Force on Research Data Services: Final Report. Association of Research Libraries and Canadian Association of Research Libraries, julio de 2021. http://dx.doi.org/10.29242/report.arlcarlrdstaskforce2021.
Texto completoFuchs, Marcel, Ishaiah Segal, Ehude Dayan y K. Jordan. Improving Greenhouse Microclimate Control with the Help of Plant Temperature Measurements. United States Department of Agriculture, mayo de 1995. http://dx.doi.org/10.32747/1995.7604930.bard.
Texto completoMoldovan, Paula, Sérgio Lagoa y Diana Mendes. The impact of Economic Policy Uncertainty on the real exchange rate: Evidence from the UK. DINÂMIA'CET-Iscte, 2021. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2021.06.
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