Academic literature on the topic 'ARLD model'
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Journal articles on the topic "ARLD model"
Yadav, Dipesh Kumar, Qi Zhang, Xueli Bai, Enliang Li, and Tingbo Liang. "Liver Transplantation for Alcohol-Related Liver Disease (ARLD): An Update on Controversies and Considerations." Canadian Journal of Gastroenterology and Hepatology 2020 (September 17, 2020): 1–6. http://dx.doi.org/10.1155/2020/8862152.
Full textChou, Chun-Mei, Tsu-Chi Shen, Tsu-Chuan Shen, Chien-Hua Shen, and 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 (December 30, 2023): 127–41. http://dx.doi.org/10.20319/mijst.2023.9.127141.
Full textMutmainah, 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, no. 2 (January 1, 2009): 109–25. http://dx.doi.org/10.21002/jepi.v9i2.161.
Full textAsante Antwi, Henry, Lulin Zhou, Xinglong Xu, and 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, no. 4 (April 15, 2021): 468. http://dx.doi.org/10.3390/healthcare9040468.
Full textMirović, Vera, Branimir Kalaš, and Milica Inđić. "The determinants of government expenditures in Serbia: The application of ARDL model." Anali Ekonomskog fakulteta u Subotici, no. 00 (2023): 20. http://dx.doi.org/10.5937/aneksub2300020m.
Full textLee, Kyung Hee, and Kyung Soo Kim. "Estimation of Tourism Demand using ARDL model." Korean Corporation Management Review 24, no. 4 (August 31, 2017): 59–74. http://dx.doi.org/10.21052/kcmr.2017.24.4.03.
Full textMas, André, and Besnik Pumo. "The ARHD model." Journal of Statistical Planning and Inference 137, no. 2 (February 2007): 538–53. http://dx.doi.org/10.1016/j.jspi.2005.12.006.
Full textFazli, S., and H. Noor. "Storm-wise sediment yield prediction using hillslope erosion model in semi-arid abundant lands." Soil and Water Research 8, No. 1 (February 6, 2013): 42–48. http://dx.doi.org/10.17221/27/2012-swr.
Full textRodrigues, Regiane Lopes, and Michele Veríssimo. "Evidências de desindustrialização setorial no Brasil: uma análise por modelos ARDL." Economia e Sociedade 32, no. 2 (May 2023): 355–81. http://dx.doi.org/10.1590/1982-3533.2023v32n2art05.
Full textChananet, C., S. Sukparungsee, and Y. Areepong. "The ARL of EWMA Chart for Monitoring ZINB Model Using Markov Chain Approach." International Journal of Applied Physics and Mathematics 4, no. 4 (2014): 236–39. http://dx.doi.org/10.7763/ijapm.2014.v4.290.
Full textDissertations / Theses on the topic "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.
Full textThis 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.
Full textOften 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.
Full textThroughout 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/.
Full textHagi-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.
Full textBryson, Louise Kay. "An erosion and sediment delivery model for semi-arid catchments." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/2892.
Full textImam, Bisher 1960. "Evaluation of disaggregation model in arid land stream flow generation." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277033.
Full textVerstraete, 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.
Full textMicrofiche 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.
Full textARRAS, 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.
Full textBooks on the topic "ARLD model"
Groundwater modelling in arid and semi-arid areas. New York: Cambridge University Press, 2010.
Find full textHoward, Wheater, Sorooshian Soroosh, and Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge: Cambridge University Press, 2008.
Find full textHoward, Wheater, Sorooshian Soroosh, and Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge: Cambridge University Press, 2008.
Find full textSalugin, A. N. Matematicheskie modeli dinamiki i prognoza ėvoli︠u︡t︠s︡ii aridnykh ėkosistem. Volgograd: VNIALMI, 2006.
Find full textHromadka, Theodore V. Hydrologic modeling for the arid southwest United States. Mission Viejo, CA: Lighthouse Publications, 1996.
Find full textKhazai, Esmail. A conceptual model representing arid regions catchment with emphasis on groundwater recharge. Birmingham: University of Birmingham, 1997.
Find full text1949-, Gísli Pálsson, and 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.
Find full textMiller, Mark Eugene. The structure and functioning of dryland ecosystems--conceptual models to inform long-term ecological monitoring. Reston, Va: U.S. Geological Survey, 2005.
Find full textAgoramoorthy, 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.
Find full textS, Kingwell R., and Pannell D. J, eds. MIDAS, a bioeconomic model of a dryland farm system. Wageningen, Netherlands: Pudoc, 1987.
Find full textBook chapters on the topic "ARLD model"
Timmermann, Barbara N., and Joseph J. Hoffmann. "Resins from Grindelia: a model for renewable resources in arid environments." In Plants for Arid Lands, 357–68. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-6830-4_26.
Full textGałecki, Andrzej, and Tomasz Burzykowski. "ARMD Trial: Linear Model with Homogeneous Variance." In 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.
Full textGałecki, Andrzej, and Tomasz Burzykowski. "ARMD Trial: Linear Model with Heterogeneous Variance." In 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.
Full textArsene, Corneliu T. C., Paulo J. Lisboa, and Elia Biganzoli. "Model Selection with PLANN-CR-ARD." In Advances in Computational Intelligence, 210–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21498-1_27.
Full textSaber, Mohamed, Sameh A. Kantoush, Mohammed Abdel-Fattah, Tetsuya Sumi, Jose Andres Moya, and Karim Abdrabo. "Flash Flood Modeling and Mitigation in Arid and Semiarid Basins: Case Studies from Oman and Brazil." In 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.
Full textRushton, K. R. "Numerical and Conceptual Models for Recharge Estimation in Arid and Semi-Arid Zones." In Estimation of Natural Groundwater Recharge, 223–38. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7780-9_14.
Full textMontenegro, Gloria, Miguel Gómez, Ana Maria Mujica, and Barbara N. Timmermann. "Theoretical Models for Regeneration of Medicinal Plants and Their Application in Sustainable Wild-Harvesting." In Conserving Biodiversity in Arid Regions, 275–89. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0375-0_19.
Full textdu Plessis, Erna, Tilahun Workneh, and Mark Laing. "Greenhouse Cooling Systems and Models for Arid Climate." In Sustainable Agriculture Reviews, 181–215. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21629-4_6.
Full textSharief, S. M. V., and Mohammad Zakwan. "Groundwater Remediation Design Strategies Using Finite Element Model." In 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.
Full textNajafi, Payam, and Kamran Asgari. "Forecasting Crop Water Requirement By Et-Hs model For Arid and Semi Arid Region of Iran." In 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.
Full textConference papers on the topic "ARLD model"
Peng, Hongchun, Haiying Li, Xin Li, Wanchang Zhang, and Yanhua Chen. "Mapping LAI using BRDF model in arid and semi-arid Northwestern China." In Remote Sensing, edited by Manfred Ehlers and Ulrich Michel. SPIE, 2006. http://dx.doi.org/10.1117/12.689641.
Full textKinanu, Grace Safari, Dasel Wambua Mulwa Kaindi, Prof Wambui Kogi-Makau, and 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." In 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.
Full textHou, Danlin, Ibrahim Galal Hassan, and Liangzhu (Leon) Wang. "Bayesian Inference Calibration of Building Energy Models for Arid Weather." In ASME 2021 Verification and Validation Symposium. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/vvs2021-65256.
Full textAlhamad, Mohammad N., and Shefaa M. Abdullah. "MODELING OF RANGELAND ECOSYSTEMS IN NORTHERN JORDAN." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/3.1/s12.12.
Full textSun, Yuan, Xing-fa Gu, Tao Yu, Feng Zhao, Xing-feng Chen, Hai-liang Gao, and Juan Li. "Research on 3D canopy's reflectance model of semi-arid grassland." In IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5652658.
Full textBalajee, J., U. Kumaran B. Haritha, Appakonda Srinadh Reddy, Kompalli Mounika, and K. Siva Kumar. "Pulmonary Chest Nodule Detection through Adaptive Reinforcement Learning Model (ARLM)." In 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). IEEE, 2023. http://dx.doi.org/10.1109/iceeict56924.2023.10157008.
Full textSpooner, Thomas, and Rahul Savani. "Robust Market Making via Adversarial Reinforcement Learning." In 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.
Full textJia, Bingyan, Danlin Hou, Liangzhu (Leon) Wang, and Ibrahim Galal Hassan. "Estimation of Room-Level Cooling Energy in Hot/Arid Climate by Machine Learning-Based Approaches." In ASME 2021 Verification and Validation Symposium. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/vvs2021-65272.
Full textBalcılar, Mehmet, Harun Bal, Neşe Algan, and Mehmet Demiral. "Turkey’s Export Performance: Examining the Main Determinants of Export Volume (1995-2012)." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00774.
Full textHamid, Mohd Fahmi Abdul, and Ani Shabri. "Palm oil price forecasting model: An autoregressive distributed lag (ARDL) approach." In 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.
Full textReports on the topic "ARLD model"
Dixon, Jason. An Evaluation of Unsaturated Flow Models in an Arid Climate. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/759261.
Full textZiegler, Nancy, Nicholas Webb, John Gillies, Brandon Edward, George Nikolich, Justin Van Zee, Brad Cooper, Dawn Browning, Ericha Courtright, and Sandra LeGrand. Plant phenology drives seasonal changes in shear stress partitioning in a semi-arid rangeland. Engineer Research and Development Center (U.S.), September 2023. http://dx.doi.org/10.21079/11681/47680.
Full textLinker, Raphael, Murat Kacira, Avraham Arbel, Gene Giacomelli, and Chieri Kubota. Enhanced Climate Control of Semi-arid and Arid Greenhouses Equipped with Fogging Systems. United States Department of Agriculture, March 2012. http://dx.doi.org/10.32747/2012.7593383.bard.
Full textDrysdale, Andrew W. U.S. Army Research Laboratory (ARL) DESCENT Model Roadmap: Current Scope and Near-Term Extensions. Fort Belvoir, VA: Defense Technical Information Center, August 2013. http://dx.doi.org/10.21236/ada589953.
Full textPalatiello, Brett, and Philip Pinkington. Government Deficits and Interest Rates: A Keynesian View. Institute for New Economic Thinking Working Paper Series, April 2022. http://dx.doi.org/10.36687/inetwp183.
Full textDeb Pal, Barun, Shalander Kumar, and 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.
Full textLast, G. V., and 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), March 1993. http://dx.doi.org/10.2172/10151709.
Full textWhitehead, Martha, Dale Askey, Donna Bourne-Tyson, Karen Estlund, Susan Haigh, Claire Stewart, Kornelia Tancheva, Tyler Walters, Jennifer Muilenburg, and Judy Ruttenberg. ARL/CARL Joint Task Force on Research Data Services: Final Report. Association of Research Libraries and Canadian Association of Research Libraries, July 2021. http://dx.doi.org/10.29242/report.arlcarlrdstaskforce2021.
Full textFuchs, Marcel, Ishaiah Segal, Ehude Dayan, and K. Jordan. Improving Greenhouse Microclimate Control with the Help of Plant Temperature Measurements. United States Department of Agriculture, May 1995. http://dx.doi.org/10.32747/1995.7604930.bard.
Full textMoldovan, Paula, Sérgio Lagoa, and 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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