Relevant bibliographies by topics / Resource intensity estimation

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Academic literature on the topic 'Resource intensity estimation'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Resource intensity estimation"

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Potapov, A. P. "Estimation of dynamics of resource expenditure and resource intensity of agrarian manufacture of Russia." Agrarian Scientific Journal, no. 5 (May 20, 2018): 85–91. http://dx.doi.org/10.28983/asj.v0i5.355.

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Whitehead, John C. "Measuring Use Value from Recreation Participation." Journal of Agricultural and Applied Economics 24, no. 2 (1992): 113–19. http://dx.doi.org/10.1017/s0081305200018434.

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AbstractRecreation demand studies have traditionally utilized a two-step valuation method, estimating conditional recreation participation probabilities and then intensity of use decisions. These two steps of analysis are combined to estimate the use value of natural resource recreation sites. The purpose of this paper is to provide a method by which use value can be estimated solely from the participation decision. The one-step resource valuation method allows estimation of use values from coefficients of the logistic regression recreation participation equation. The benefits of the method ar
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Gebru, Bahre, and Sosina Bezu. "Environmental resource collection: implications for children's schooling in Tigray, northern Ethiopia." Environment and Development Economics 19, no. 2 (2013): 182–200. http://dx.doi.org/10.1017/s1355770x13000454.

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AbstractThis paper examines the adverse effect of natural resources scarcity on children's schooling and the possible gender bias of resource collection work against girls' schooling. It uses cross-sectional data on 316 children aged 7–18 years collected from 120 rural households in Tigray, northern Ethiopia. The two-stage conditional maximum likelihood estimation technique is employed to take care of endogeneity between schooling and collection intensity decisions. The results revealed that a 50 per cent increase in collection intensity reduces the likelihood of child schooling by approximate
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Kohler, Marcel. "Confronting South Africa’s water challenge: A decomposition analysis of water intensity." South African Journal of Economic and Management Sciences 19, no. 5 (2016): 831–47. http://dx.doi.org/10.4102/sajems.v19i5.1590.

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Water is a vital natural resource, demanding careful management. It is essential for life and integral to virtually all economic activities, including energy and food production and the production of industrial outputs. The availability of clean water in sufficient quantities is not only a prerequisite for human health and well-being but the life-blood of freshwater ecosystems and the many services that these provide. Water resource intensity measures the intensity of water use in terms of volume of water per unit of value added. It is an internationally accepted environmental indicator of the
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Yudina, E. I. "Estimation of influencing innovations on the resource saving of enterprise." Bulletin of the Dnipropetrovsk University. Series: Management of Innovations, no. 5 (November 13, 2015): 108–17. https://doi.org/10.15421/191528.

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The article is devoted to a topical issue of the influence of innovations on the process of resource saving and increase of efficiency of functioning of enterprises. Resource saving is a necessary condition for effective functioning of an enterprise that contributes to the solution of the problem of the growing demand of manufacturing in resources mainly due to savings and provides for decrease in the resource intensity of the products, and as a result, increases production efficiency through their most efficient use. Steady growth of production in the long term depends not so much on resource
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Khubaev, G., S. Shirobokova, and M. Babеev. "Process-statistical approach to estimation of resourceability of accounting processes in the higher educational institution." Bulletin of Science and Practice, no. 6 (June 14, 2017): 194–210. https://doi.org/10.5281/zenodo.808738.

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Shown the economic feasibility of the process–statistical cost accounting resources to evaluate the intensity of the processes of accounting in budget organisations. Investigated business processes in the Accounting Department of a higher educational institution. Constructed UML–diagrams and automated synthesis of simulation models allowed us to significantly reduce the complexity of the assessment procedures of resource accounting processes. Examples of charting the precedents and activities and the results of simulation modelling of accounting processes.
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Zhang, Eryu, Xiaoyu He, and Peng Xiao. "Does Smart City Construction Decrease Urban Carbon Emission Intensity? Evidence from a Difference-in-Difference Estimation in China." Sustainability 14, no. 23 (2022): 16097. http://dx.doi.org/10.3390/su142316097.

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Climatic changes and environmental pollution caused by traditional urban development models have increased due to accelerated urbanisation and industrialisation. As a new model of urban development, smart city construction relies on digital technology reform to achieve intelligent urban governance, which is crucial for reducing carbon emission intensity and achieving regional green development. This paper constructs a multi-period DID model based on panel data from 283 cities from 2007 to 2019 to explore the impact of smart city construction on urban carbon emission intensity. This study found
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Ferguson, C., B. J. Whipp, A. J. Cathcart, H. B. Rossiter, A. P. Turner, and S. A. Ward. "Effects of prior very-heavy intensity exercise on indices of aerobic function and high-intensity exercise tolerance." Journal of Applied Physiology 103, no. 3 (2007): 812–22. http://dx.doi.org/10.1152/japplphysiol.01410.2006.

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A recent bout of high-intensity exercise can alter the balance of aerobic and anaerobic energy provision during subsequent exercise above the lactate threshold (θL). However, it remains uncertain whether such “priming” influences the tolerable duration of subsequent exercise through changes in the parameters of aerobic function [e.g., θL, maximum oxygen uptake (V̇o2max)] and/or the hyperbolic power-duration (P-t) relationship [critical power (CP) and the curvature constant (W′)]. We therefore studied six men performing cycle ergometry to the limit of tolerance; gas exchange was measured breath
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Wang, Tongshan, Ansng Geng, Xia Li, Hongjun Wang, Zecheng Wang, and Li Qiufen. "A Prediction Model of Oil Cracked Gas Resources and Its Application in the Gas Pools of Feixianguan Formation in NE Sichuan Basin, SW China." Journal of Geological Research 2011 (April 12, 2011): 1–11. http://dx.doi.org/10.1155/2011/592567.

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The prediction of oil cracked gas resources is necessary and urgent in the gas exploration of these basins at high to over stage in China. A marine crude oil sample was pyrolyzed using sealed gold tubes system in our study. The pyrolysates including gas, liquid, and solid were quantitatively analyzed. Based on the pyrolysis data and kinetic calculation, the yield correlativity among gas, liquid, and solid products was regressed with high correlative coefficients to establish a prediction model suitable for the resource estimation of oil cracked gas. The verification formula for this model was
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Bachinsky, Alexander G., and Lily Ph Nizolenko. "A Universal Model for Predicting Dynamics of the Epidemics Caused by Special Pathogens." BioMed Research International 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/467078.

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A universal model intended primarily for predicting dynamics of the mass epidemics (outbreaks) caused by special pathogens is being developed at the State Research Center of Virology and Biotechnology Vector. The model includes the range of major countermeasures: preventive and emergency mass vaccination, vaccination of risk groups as well as search for and isolation/observation of infected cases, contacts, and suspects, and quarantine. The intensity of interventions depends on the availability of the relevant resources. The effect of resource limitations on the development of a putative epide
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Books on the topic "Resource intensity estimation"

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Takama, Takeshi, Muhammad Bilal, and K. Srinivasa Raju, eds. Impact of Climate Change on Hydrology and Water Resources. IWA Publishing, 2022. http://dx.doi.org/10.2166/9781789064421.

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Abstract The impact of climate change on water resources is a research area that is gaining prominence, and concerns the prediction of rainfall, temperature, streamflow/discharge, and other meteorological variables. This book is intended to help researchers and other relevant stakeholders working in this area. Its chapters deal with estimation of runoff, floods and droughts, intensity-duration frequency (IDF) curves and evapotranspiration (ET). In addition, some of the miscellaneous topics related to hydrology are also included. In Focus–a book series that showcases the latest accomplishments
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Book chapters on the topic "Resource intensity estimation"

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Hasanov, Fakhri J., Frederick L. Joutz, Jeyhun I. Mikayilov, and Muhammad Javid. "Database." In SpringerBriefs in Economics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12275-0_5.

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AbstractOne of the heaviest resource-consuming tasks of KGEMM, as with all MEMs, is the collection, update, revision, and maintenance of data. In econometric modeling, data are the key elements in determining the statistical properties of relationships. In this regard, data availability plays an important role in establishing linkages between the variables in time series-based MEMs. As discussed in the literature review, MEMs are heavily data-intensive, and obtaining comprehensive results is conditional upon the accuracy and time span of the data. MEMs are also data-dependent, with data update
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Tu, Xiaohan, Chuanhao Zhang, Haiyan Zhuang, Zhen Sang, and Mengran Liu. "EffiNet: An Efficient, Low-Complexity Neural Network for Monocular Depth Estimation on Embedded Devices." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2409-6_3.

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Abstract Monocular Depth Estimation (MDE) plays an important role in many fields. However, current MDE requires complex models that are computationally intensive and unsuitable for real-time applications. Some MDE methods also have a high memory access frequency (MAF), leading to substantial data transfer demands. This paper presents EffiNet, a novel network structure designed for MDE. We emphasize high performance and lightweight computing. EffiNet significantly reduces computational complexity while maintaining accurate depth estimation by utilizing MobileNetV2 as the backbone for the encode
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Khoshkbarforoushha, Alireza, Rajiv Ranjan, and Peter Strazdins. "Resource Distribution Estimation for Data-Intensive Workloads: Give Me My Share & No One Gets Hurt!" In Communications in Computer and Information Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33313-7_17.

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Gan, Rundong, Xun Li, Wei Wei, Haibin Su, and Zhu Zhan. "Automatic Resource Scaling Management System on Electric Power Supercomputing Clouds." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230814.

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With the advent of the big data era, the explosive growth of data volume has put enormous computing and storage pressure on electric power companies. As a powerful technical means, supercomputing clouds are widely used in data processing, storage, and online services. However, critical services in supercomputing clouds are often deployed with overprovisioned resources to ensure the quality of service for users, resulting in significant energy consumption and additional costs. At the same time, insufficient resources for service provisioning can lead to performance degradation and service viola
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Hrnčević, Lidia. "Greenhouse Gas Emissions from the Petroleum Industry." In Natural Resources Management. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0803-8.ch011.

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Greenhouse Gas (GHG) emissions occur, more or less, in all aspects of the petroleum industry's activities. Besides the direct emissions of some GHG, the petroleum industry is also characterised with high energy intensity usually followed by emissions of adverse gases, especially at old facilities, and also the products with high emission potential. Being the global industry and one of the major players on global market, the petroleum industry is also subjected to global regulatory provisions regarding GHG emissions. In this chapter, the impact of global climate change on the petroleum industry
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Daus, Yuliia, Valeriy Kharchenko, and Igor Viktorovich Yudaev. "Solar Radiation Intensity Data as Basis for Predicting Functioning Modes of Solar Power Plants." In Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3867-7.ch012.

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The chapter presents express methods for estimating the solar energy potential at a given point on the basis of combining the solar radiation daily profile application method under clear skies and actinometrical data of the NASA electronic base. Such a new approach including the climatological conditions of the region, significantly reduces the calculation time, and improves the accuracy of the decisions with a minimum of initial data. For the speed and convenience of calculations based on the proposed methodology, it was implemented in the form of a computer program. The article also analyzes
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Allande César, Jorba Josep, Sikora Anna, and César Eduardo. "Performance model based on memory footprint for OpenMP memory bound applications." In Advances in Parallel Computing. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-621-7-73.

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Performance of memory intensive applications executed on multi-core multi-socket environments is closely related to the utilization of shared resources in the memory hierarchy. Depending on the characteristics of the application, the shared resources utilization can lead to a significant performance degradation. The exploration of different thread affinity configurations allows the selection of a proper configuration that balances the performance improvement obtained by increasing parallelism with the performance degradation due to memory contention. However, as the number of cores per process
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Huang Jurong, Ding Hang, McBride Simon, Ireland David, and Karunanithi Mohan. "Use of Smartphones to Estimate Carbohydrates in Foods for Diabetes Management." In Studies in Health Technology and Informatics. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-558-6-121.

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Over 380 million adults worldwide are currently living with diabetes and the number has been projected to reach 590 million by 2035. Uncontrolled diabetes often lead to complications, disability, and early death. In the management of diabetes, dietary intervention to control carbohydrate intake is essential to help manage daily blood glucose level within a recommended range. The intervention traditionally relies on a self-report to estimate carbohydrate intake through a paper based diary. The traditional approach is known to be inaccurate, inconvenient, and resource intensive. Additionally, pa
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"From Catastrophe to Recovery: Stories of Fishery Management Success." In From Catastrophe to Recovery: Stories of Fishery Management Success, edited by Christopher S. Vandergoot, Matthew D. Faust, James T. Francis, et al. American Fisheries Society, 2019. http://dx.doi.org/10.47886/9781934874554.ch18.

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<i>Abstract.</i>—This chapter describes management actions implemented after a large-scale population decline of the Walleye <i>Sander vitreus</i> population in Lake Erie, one of the Laurentian Great Lakes in North America. Intensive fishery exploitation during the 1950s combined with declining water quality conditions collapsed the Walleye stock during the early 1960s. The fishery persisted at low levels until 1970 when the fishery was closed (1970–1972) due to elevated mercury concentrations in Walleye tissue. Lake Erie fishery managers at the time recog
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Jain, Dr Arpit. "CONCLUSION & FUTURESCOPE." In Network on Chip (NoC) Implementation for 3-D Network Topological Structure in HDL Environment. Pink Petals Publication Pvt Ltd, 2023. http://dx.doi.org/10.70034/ppp/bk/noc.7.

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The solution for the multiprocessor system architecture is Application specific Network on Chip (NoC) architectures which are emerging as a leading technology. Modeling and simulation of multilevel network structure and synthesis for custom NoC can be beneficial in addressing several requirements such as bandwidth, inter process communication, multitasking application use, deadlock avoidance, router structures and port bandwidth. Network on chip (NoC) architecture is an approach to develop large and complex systems on a single chip. NoC is the network version of the MPSoC. A NoC can be structu
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Conference papers on the topic "Resource intensity estimation"

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Haider, Shahid A., Farnoud Kazemzadeh, and Alexander Wong. "Computational laser intensity stabilisation for organic molecule concentration estimation in low-resource settings." In SPIE BiOS, edited by David Levitz, Aydogan Ozcan, and David Erickson. SPIE, 2017. http://dx.doi.org/10.1117/12.2253380.

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Perera, M. T. R. D., K. K. G. I. Wijesundara, M. D. Jayawarna, S. P. Chaminda, R. Madhurshan, and K. G. A. U. Samarakoon. "Enhancing stockpile inventory management through UAV- based volume estimation: a case study of salt stockpiles in Hambantota mahalewaya." In International Symposium on Earth Resources Management & Environment - ISERME 2024. Division of Sustainable Resources Engineering, Hokkaido University, Japan, 2024. https://doi.org/10.31705/iserme.2024.29.

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Accurate volume estimation of stockpiles is crucial in industries such as Mining, Construction, salt, and Agriculture to optimize resource utilization. This study evaluates the effectiveness of Unmanned Aerial Vehicles (UAVs) compared to Differential Global Positioning System (DGPS) and Total Station (TS) methods for volume estimation of outdoor salt stockpiles in Hambantota Mahalewaya, Southern province of Sri Lanka. The inventory identified two stockpiles, stockpile 1 and stockpile 2, with volumes of 1832.25 m3 and 819 m3, respectively. An optimal elevation of 55m was utilized for UAV survey
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Gonuguntla, Satya. "Estimation of Aotearoa New Zealand’s Food and Fibre Sector’s Export Specialisation with Key Trading Partners." In ITP Research Symposium 2022. Unitec ePress, 2023. http://dx.doi.org/10.34074/proc.2302015.

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The food and fibre industry plays a vital role in Aotearoa New Zealand’s economy, accounting for more than 80% of merchandise exports. Major items of the sector include dairy, meat, forestry and horticulture. Key Asian export markets include Singapore, China, Malaysia, Hong Kong, China, Korea and Thailand, with which New Zealand has negotiated Free Trade Agreements (FTAs). FTAs are aimed at enhancing trade flows among the member countries, enabling each member country to specialise in the export of those goods in which they have a comparative advantage, which in turn depends on their resource
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Zvyagintsev, D., Nina Kamalova, and N. Matveev. "ESTIMATION OF INTERNET RESOURCE PROFIT BY FORMALIZED MODELING METHODS." In PHYSICAL BASIS OF MODERN SCIENCE-INTENSIVE TECHNOLOGIES. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2022. http://dx.doi.org/10.34220/pfmsit2022_107-112.

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In the work, the methods of formalized modeling assessed the profitability of a possible Internet resource. The model makes it possible to carry out by public means (using spreadsheets) a comprehensive analysis of profits, taking into account possible competitors and their production volumes, demand for products, and to form a plan for the sale of products. The model clearly demonstrates the possibilities of a systematic approach in solving problems of financing Internet resources.
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Meehan, D. N. "Estimating Carbon Intensity of Unconventional Plays." In Unconventional Resources Technology Conference. American Association of Petroleum Geologists, 2018. http://dx.doi.org/10.15530/urtec-2018-2888730.

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Rafiee, Javad, Pallav Sarma, Fernando Gutierrez, et al. "Energy Transition Meets Digital Transformation: Design and Implementation of a Comprehensive Carbon Emissions Estimation and Forecasting Platform." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31747-ms.

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Abstract With growing worldwide consensus about the impacts of climate change, the oil and gas industry faces unprecedented pressure to redefine itself, minimize its carbon footprint, and ultimately move towards net zero emissions. It is therefore imperative that the industry can easily and accurately measure its carbon footprint, forecast impact on emissions from operational decisions, monitor key sources of emissions and ultimately minimize it via operational and other optimizations. This need is further accelerated by regulatory, investor, consumer, and market forces, in many cases making i
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Mian, Rizwan, Patrick Martin, Farhana Zulkernine, and Jose Luis Vazquez-Poletti. "Estimating resource costs of data-intensive workloads in public clouds." In the 10th International Workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2405136.2405139.

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Hao, Jing, Xin Luo, Dai Guo Yu, et al. "Development and Application of Layer Intensity Index Based on Image Logs in Lacustrine Shale Oil Formation-A Case Study from Sichuan Basin." In SPE Argentina Exploration and Production of Unconventional Resources Symposium. SPE, 2023. http://dx.doi.org/10.2118/212431-ms.

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Abstract Lacustrine shale oil is the hottest recent topic in the main basins of China. To better understand the reservoir controlling factors, operators acquire borehole images, nuclear magnetic resonance (NMR), and geochemical logs, which help them identify the sweet spots in shale oil formations. These reveal that that the layering textures have a close relation to key reservoir parameters, such as porosity, and total organic carbon (TOC), etc. The objective of this study is to develop and apply a "layer intensity index" method to the lacustrine shale oil formations of Sichuan Basin. To do t
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Szarowská, Irena. "Impact of public R&D expenditure on economic growth in selected EU countries." In Business and Management 2016. VGTU Technika, 2016. http://dx.doi.org/10.3846/bm.2016.16.

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The aim of the paper is to investigate influence of research and development (R&D) expenditure on economic growth in 20 selected EU member states in the period 1995-2013, time span is also divided into a pre-crisis and a post-crisis period. Basic source of data is Eurostat database.The research is based on a dynamic panel regression model (GMM) and estimations are based on Arellan-Bond estimator (1991). Results confirm positive and statistically significant impact of government R&D expenditure, which is the main driver for economic growth during the analysed period. Importance
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Gayashan, K. M. K., and R. L. H. L. Rajapakse. "Investigation of the transferability of basin hydrological parameters in Sri Lanka’s wet zone river basins." In Civil Engineering Research Symposium 2024. Department of Civil Engineering, University of Moratuwa, 2024. http://dx.doi.org/10.31705/cers.2024.21.

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Sustainable water resource management is essential as urbanization and population growth intensify competition for limited freshwater resources. Accurate streamflow estimation in river basins is a key tool for effective management. Hydrologic modelling provides a flexible approach for estimating streamflow, but its application can be challenging in ungauged basins due to data scarcity and other constraints. This research improves streamflow estimation in data-scarce regions, aiding more effective water resource management amid rising demands. This research explores the applicability of the spa
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