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Journal articles on the topic 'Resource intensity estimation'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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Makarov, A. S., V. V. Kharlamov, and D. I. Popov. "Methodology development for estimating the residual resource of diesel locomotive traction generator brushes." Omsk Scientific Bulletin, no. 193 (2025): 84–90. https://doi.org/10.25206/1813-8225-2025-193-84-90.

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The article presents the formation of a mathematical model of the wear process and estimation of the residual resource of synchronous traction generator brushes. The authors propose to consider the peculiarities of operation and technical condition of the brush assembly in calculating the residual resource of electric brushes. The data arrays collected by the on-board monitoring system are analysed and required parameters for determining the residual resource of electric brushes are identified. The article provides a mathematical model of wear intensity of the traction generator electric brush

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Yuan, Xiaodie, and Zhang Jun. "Water Resource Risk Assessment Based on Non-Point Source Pollution." Water 13, no. 14 (2021): 1907. http://dx.doi.org/10.3390/w13141907.

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As one of the most important causes of water quality deterioration, NPS (non-point source) pollution has become an urgent environmental and livelihood issue. To date, there have been only a few studies focusing on NPS pollution conforming to the estimation, and the pollution sources are mainly concentrated in nitrogen and phosphorus nutrients. Unlike studies that only consider the intensity of nitrogen and phosphorus loads, the NPS pollution risk for the China’s Fuxian Lake Basin was evaluated in this study by using IECM (Improve Export Coefficient Model) and RUSLE (Revised Universal Soil Loss

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Селютин, V. Selyutin, Дикевич, A. Dikevich, Севрюгина, and N. Sevryugina. "PARAMETRIC INDICES PROVIDING FUNCTIONAL STABILITY OF THE AUTOMOBILE TRANSPORT SYSTEMS." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 2, no. 2 (2015): 425–29. http://dx.doi.org/10.12737/19245.

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In this paper, the influence of intensity changes parametric indicators, which ensures the functional stability of the systems of the car. It is established that basic method of assessing the resource gives a rough estimation-idealized result for normal conditions of vehicle operation. Proposed to take into account when establishing the residual life of the car or its systems changing the parametric performance under various conditions of operation

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Abdiaziz, Hassan Nur, Ali Ibrahim Abdullahi, Abdi Warsame Abas, and Hurre Farah Abdikarim. "Estimation of soil erosion and risk assessment in Somalia." International Journal of Agricultural Research, Innovation and Technology 14, no. 2 (2024): 111–21. https://doi.org/10.3329/ijarit.v14i2.79422.

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Soil erosion is a pressing issue that threatens environmental stability and agricultural productivity across the globe. In Somalia, where the population already contends with severe socioeconomic and environmental challenges, the effects of erosion compound problems like food insecurity and land degradation. This study investigates erosion patterns and identifies areas prone to soil loss, aiming to provide actionable insights for improving land use practices and resource management. The research employs advanced analytical tools to study how erosion factors are distributed geographically. Data

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Das, AshokKumar, PRAGATI SRIVASTAVA, and BP YADAV. "Isopluvial Analysis and Intensity Duration Frequency (IDF) Curves for different cities in India." MAUSAM 73, no. 4 (2022): 897–908. http://dx.doi.org/10.54302/mausam.v73i4.3530.

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Globally water resource management is becoming a priority for every Government. This is due to tremendous increase in population growth,urbanization, modern life style, increase in agricultural activities, industrialization etc. which is increasing the water demand day by day. This paper focuses on design storms studiesusing return period analysis technique (Isopluvial analysis) based on 129 well distributedSelf Recording Raingauge (SRRG) stations in the various climatic zones of India. The extreme rainfall values are taken for preparation of Isopluvial maps for return period of 2-year, 5- yea

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Hai, Phong NGUYEN. "Unveiling the Nexus: Foreign Ownership, Innovation Dynamics, and Firm Performance through a Resource-Based Lens in Vietnam." Journal of Economics, Finance And Management Studies 07, no. 10 (2024): 6414–35. https://doi.org/10.5281/zenodo.14000024.

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This study investigates the complex relationships between firm resources, innovation, foreign ownership, and firm performance in the context of Vietnam's emerging market. Using a comprehensive dataset of 17,430 firm-year observations from 1,245 manufacturing firms across Vietnam for the period 2010 to 2023, we employ system GMM estimation to address potential endogeneity concerns. Our findings reveal non-linear effects of firm resources and foreign ownership on performance, measured by both ROA and Tobin's Q. Specifically, we observe inverted U-shape relationships for human capital and foreign

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Abdiaziz Hassan Nur, Abdullahi Ali Ibrahim, Abas Abdi Warsame, and Abdikarim Hurre Farah. "Estimation of soil erosion and risk assessment in Somalia." International Journal of Agricultural Research, Innovation and Technology 14, no. 2 (2025): 111–21. https://doi.org/10.3329/ijarit.v14i2.79422.

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Soil erosion is a pressing issue that threatens environmental stability and agricultural productivity across the globe. In Somalia, where the population already contends with severe socioeconomic and environmental challenges, the effects of erosion compound problems like food insecurity and land degradation. This study investigates erosion patterns and identifies areas prone to soil loss, aiming to provide actionable insights for improving land use practices and resource management. The research employs advanced analytical tools to study how erosion factors are distributed geographically. Data

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18

Aliyeva, Kamala. "Estimation of renewable energy sources under uncertainty using fuzzy AHP method." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 15, no. 2 (2025): 104–9. https://doi.org/10.35784/iapgos.7191.

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Renewable energy sources are natural energy forms that are replenished on a human timescale and are seen as more sustainable and eco-friendlier compared to fossil fuels. These resources are crucial for lowering carbon emissions and addressing climate change, ensuring a cleaner and more sustainable energy future. Choosing renewable energy sources in an uncertain environment presents a complex decision-making challenge, as it involves assessing multiple factors under conditions of uncertainty, such as fluctuating energy prices, shifting government policies, varying resource availability (e.g., s

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Nie, Xiangtian, Min Li, Jilan Lu, and Bo Wang. "Research on Buffer Calculation Model of Critical Chain Based on Adjacency Information Entropy." Buildings 13, no. 4 (2023): 942. http://dx.doi.org/10.3390/buildings13040942.

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In project network planning, the correlation complexity of the processes is not only related to the immediately preceding and following processes, but also closely related to indirect adjacent processes. In the existing relevant studies, many scholars have considered the influence of direct adjacent processes but ignored the influence of indirect adjacent processes. In addition, the three-point time estimation method and Monte Carlo simulation are mostly used in the current research for the estimation of process duration, while less research exists on the estimation of process optimal duration

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Syaeful, Heri, and Suharji Suharji. "Geostatistics Application On Uranium Resources Classification: Case Study of Rabau Hulu Sector, Kalan, West Kalimantan." EKSPLORIUM 39, no. 2 (2019): 131. http://dx.doi.org/10.17146/eksplorium.2018.39.2.4960.

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ABSTRACT In resources estimation, geostatistics methods have been widely used with the benefit of additional attribute tools to classify resources category. However, inverse distance weighting (IDW) is the only method used previously for estimating the uranium resources in Indonesia. The IDW method provides no additional attribute that could be used to classify the resources category. The objective of research is to find the best practice on geostatistics application in uranium resource estimation adjusted with geological information and determination of acceptable geostatistics estimation att

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Sevryugina, Nadegda, and Pavel Kapyrin. "Technological machines, construction resources, efficiency and safety." MATEC Web of Conferences 178 (2018): 06017. http://dx.doi.org/10.1051/matecconf/201817806017.

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Understanding the direct relationship of the person, his activities Wednesday habitats requires not only new methodological approaches to research, but, first and foremost, clarify the existing scientific theories, their coherence with the development the environment Wednesday. A model of modernization of transport and technological machines as a factor in the realization of tasks of improving their effectiveness, safety and environmental performance. The main focus in addressing modifications of technological machines in use is considered lowering their material intensity, by adopting a more

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Shafi, Imran, Harris Khan, Muhammad Siddique Farooq, et al. "An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation." Energies 16, no. 10 (2023): 4171. http://dx.doi.org/10.3390/en16104171.

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The precise prediction of power estimates of wind–solar renewable energy sources becomes challenging due to their intermittent nature and difference in intensity between day and night. Machine-learning algorithms are non-linear mapping functions to approximate any given function from known input–output pairs and can be used for this purpose. This paper presents an artificial neural network (ANN)-based method to predict hybrid wind–solar resources and estimate power generation by correlating wind speed and solar radiation for real-time data. The proposed ANN allows optimization of the hybrid sy

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Wang, Yaping, Hongxiao Zhao, Dan Wang, and Yu Cheng. "Self-Sufficient Carbon Emission Reduction in Resource-Based Cities: Evidence of Green Technology Innovation." Sustainability 17, no. 11 (2025): 5075. https://doi.org/10.3390/su17115075.

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Green technology innovation (GTI) is crucial for achieving synergistic development in reducing pollution and carbon emissions (CEs). The spatio-temporal evolutionary aspects of carbon emission intensity (CEI) in resource-based cities (RBCs) and the heterogeneity of the carbon emission reduction effects of GTI from zoning, grading, and classification perspectives are investigated using kernel density estimation, Markov chains, and panel regression models. Our results are as follows: the CEI of RBCs displays a fluctuating downwards trend from 2006 to 2022. Spatially, the main feature is that the

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Larina, Yaroslava, Julia Galchynska, Petro Kucheruk, et al. "Estimation of the Domestic Agricultural Sector Potential for the Growth of Energy Cultures for Bioenergy Fuel Production." Agricultural Engineering 25, no. 1 (2021): 73–82. http://dx.doi.org/10.2478/agriceng-2021-0006.

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Abstract The article presents discussion on the state and prospects of bioenergy development in the context of rationalization of energy crops application as resource potential of Ukraine. Along with the development of society and increase of life intensity, the needs of mankind with regard to energy resources are increasing. The reduction rates of traditional types of energy resources are progressively growing, and their shortage is increasing. In addition, Ukraine belongs to import-dependent countries in the energy sector. At the expense of its own sources, our country provides only about ha

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Andrij, Bolohin, and Strela Maksym. "Estimation of aircraft power elements by areas of technical condition using clustering algorithm and statistical recognition method." Political Science and Security Studies Journal 2, no. 1 (2021): 74–83. https://doi.org/10.5281/zenodo.4924240.

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In accordance with the concept of maintaining the serviceability of aviation of the Armed Forces of Ukraine, there was a problem of ensuring the serviceability of the fleet of aircraft and accurate classification of the technical condition of power elements of different types of aircraft for timely detection of their limit state. The purpose of the work is to find a system for classifying the technical condition – an image recognition system to solve this problem. The paper considers the issue of choosing an effective method of recognition, the main requirements for it, analyzes the chos

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Che, Beibei, Chaofeng Shao, Zhirui Lu, Binghong Qian, and Sihan Chen. "Mineral Requirements for China’s Energy Transition to 2060—Focus on Electricity and Transportation." Sustainability 15, no. 1 (2022): 585. http://dx.doi.org/10.3390/su15010585.

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Through energy transition, China can help curb the global climate challenge and achieve carbon neutrality. However, the development of energy transition is potentially constrained by minerals. Previous studies on energy minerals have been limited to power generation technologies (e.g., wind and solar) and have mostly focused on rare metals. In this study, 18 minerals were selected for investigation based on the energy transition scenario in China. A dynamic stock model was used to calculate the installed capacity and phase-out of infrastructure. Through scenario analysis, changes in the demand

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Guo, Qingran, Cuicui Ding, Tingting Guo, and Shuaitao Liu. "Dynamic Effects and Regional Differences of Industrialization and Urbanization on China’s Energy Intensity under the Background of “Dual Carbon”." Sustainability 14, no. 16 (2022): 9948. http://dx.doi.org/10.3390/su14169948.

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Based on China’s provincial panel data during 2012–2019, this paper performs an empirical analysis of the dynamic effect and regional difference of industrialization and urbanization on the energy intensity in China by separating the energy intensity into three levels including low, middle and high and using the dynamic panel data with system GMM estimation. The results show that the energy intensity will increase by 0.4298% for every 1% increase in the industrialization level on the premise of keeping other variables unchanged. For every 1% increase in the urbanization level, the energy inten

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Ojebisi, T. Y. "Development and Testing of a Low-Cost Solar-powered Disdrometer for Rainfall Characterization." Journal of Basic & Applied Sciences 20 (December 19, 2024): 196–202. https://doi.org/10.29169/1927-5129.2024.20.19.

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This research explores the development, construction, and validation of a cost-effective, solar-powered disdrometer designed to enhance the study of rainfall parameters. Disdrometers are essential tools for quantifying rainfall characteristics, such as drop size distribution and intensity, which are critical for understanding precipitation microphysics and improving weather radar and satellite rainfall estimation. However, the high cost of commercial disdrometers limits their accessibility, particularly in resource-constrained regions. To address this challenge, a low-cost disdrometer was deve

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Hutasavi, S., and D. Chen. "SOCIOECONOMIC STATUS FROM SPACE: EXAMPLE OF ESTIMATING THAILAND’s SUB-DISTRICT HOUSEHOLD INCOME BASED ON REMOTELY SENSED AND GEOSPATIAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 24, 2020): 109–15. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-109-2020.

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Abstract. The socioeconomic data, such as household income, is an important indicator of people’s well-being. However, due to the limited resource in many developing countries such as Thailand, the data obtained from household income surveys are often incomplete. As a result, the annual household survey usually contains a gap at the municipality household level. In this study, we aim to quantify the household income with K-NN imputation models at the sub-district level using satellite imageries and geospatial data as proxies to socioeconomic indicators. We examined the role of satellite and ge

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SHULIN, Zhang. "Studying the intensity of the energy footprint of Chinese provinces based on the Net Primary Productivity model." Economic Analysis: Theory and Practice 23, no. 11 (2024): 2175–86. https://doi.org/10.24891/ea.23.11.2175.

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Rees W.E. Ecological Footprint and Appropriated Carrying Capacity: What Urban Economics Leaves out. Environment and Urbanization, 1992, vol. 4, iss. 2, pp. 121–130. URL: Link Sausheva O.S. [Ecological footprint of modern socio-economic systems: Measurement and trends]. Nauchnyi zhurnal NIU ITMO. Seriya: Ekonomika i ekologicheskii menedzhment, 2020, no. 3. (In Russ.) URL: Link Kuhn T., Pestow R., Zenker A. On the axiomatic foundation of carbon and energy footprints. Energy, Sustainability and Society, 2020, vol. 10, iss. 1. URL: Link Tetior A.N. [Town-planning development of territories: Ecolog

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Xu, Xianpu, and Lingyun Huang. "How Does Environmental Protection Tax Affect Urban Energy Consumption in China? New Insights from the Intensity Difference-in-Differences Model." Sustainability 16, no. 10 (2024): 4141. http://dx.doi.org/10.3390/su16104141.

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Against the backdrop of accelerating environmental protection and resource conservation, it is of great significance to achieve energy conservation and sustainable growth. In this context, by collecting panel data from 284 cities in China from 2009 to 2021, this paper constructs an intensity difference-in-differences (I-DID) model, using the implementation of China’s environmental protection law in 2018 as an event shock, to explore the impact of environmental protection tax (EPT) on urban energy consumption. The results indicate that EPT significantly reduces urban energy consumption. After s

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Bogatyrev, Vladimir, and Van Quy Phung. "An Approximate Assessment of Latency in a Computer System with Container Virtualization." Informatics and Automation 24, no. 3 (2025): 914–50. https://doi.org/10.15622/ia.24.3.7.

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The key role in achieving high reliability, security, fault tolerance, and low latency of query service in distributed systems (including cloud computing) is played by the consolidation of data processing and storage resources in clusters, the efficiency of which increases with the use of virtual machine technologies and container virtualization. The complexity of building queuing models for container virtualization systems is caused by the fact that the intensity of query execution in each container is associated with the dynamic division of shared resources between active (performing functio

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Badache, Ismail, Adrian-Gabriel Chifu, and Sébastien Fournier. "Unsupervised and Supervised Methods to Estimate Temporal-Aware Contradictions in Online Course Reviews." Mathematics 10, no. 5 (2022): 809. http://dx.doi.org/10.3390/math10050809.

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The analysis of user-generated content on the Internet has become increasingly popular for a wide variety of applications. One particular type of content is represented by the user reviews for programs, multimedia, products, and so on. Investigating the opinion contained by reviews may help in following the evolution of the reviewed items and thus in improving their quality. Detecting contradictory opinions in reviews is crucial when evaluating the quality of the respective resource. This article aims to estimate the contradiction intensity (strength) in the context of online courses (MOOC). T

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Kostiukevich, Ruslan, and Abdulhakem Zegllam. "SCIENTIFIC AND METHODICAL APPROACHES TO THE EVALUATION OF INNOVATION POTENTIAL ECONOMIC SYSTEMS IN GLOBAL COMPETITION." International Journal of New Economics and Social Sciences 1, no. 1 (2015): 68–74. http://dx.doi.org/10.5604/01.3001.0010.4699.

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The provisions most modern economic theories argue that the main factors of economic development in postindustrial century are innovations based on new scientific knowledge. The stability and efficiency of economic systems in a global competition can be achieved by forming a high innovation potential, which is one of the main subjects of the state innovation policy. An analysis of the theories social development and innovation dynamics has been proven the need to consider innovative capacity as a relative category, consisting of a resource component, taking into account the balance of risks an

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Kanevskii, L. S. "Research and diagnostics of the lithium power sources by the method of electrochemical noise. II." Electrochemical Energetics 9, no. 1 (2009): 3–11. http://dx.doi.org/10.18500/1608-4039-2009-9-1-3-11.

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The problem of use discharge and noise characteristic of primary power sources system of thionyl chloride/lithium for definition of their operative conditions (first of all, depth of discharge) is considered. On the basis of the analysis of features of discharge curves of Li/SOCl2 cells both bobbin and wound (rolled) type, and also intensity of voltage fluctuations and power-density spectrum of electrochemical noise of above mentioned cells it is drawn a conclusion on an opportunity of carrying out their correct diagnostics. The information received by considered methods can be used for an est

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Kwarteng, Opuni, Jonathan Quaye-Ballard, Edwin Kojo Larbi, Benedict Asamoah Asante, and Joseph Agyei Danquah. "Surface runoff estimation at the Densu River Basin using geographic information system (GIS) and remote sensing (RS)." Geodesy and cartography 50, no. 4 (2024): 198–207. https://doi.org/10.3846/gac.2024.20059.

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Accurate estimation of runoff depth and volume is essential for effective watershed management. Runoff, resulting from rainfall, is influenced by numerous factors, including soil type, vegetation, land use patterns, and rainfall characteristics. The Densu River Basin, located in the Greater Accra region of Ghana, has experienced flooding incidents, partly attributed to changes in land use and land cover. To address these challenges and facilitate proper flood management, drainage network design, hydropower generation, and other applications, this study aims to estimate surface runoff depth in

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Aniskovich, E. V., V. V. Moskvichev, and A. P. Chernaev. "Assessment of the residual life of turbine runners with operational defectiveness." Industrial laboratory. Diagnostics of materials 89, no. 6 (2023): 62–75. http://dx.doi.org/10.26896/1028-6861-2023-89-6-62-75.

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The residual life of the runners of hydraulic turbines in the presence of operational defects is estimated. The main problems of the operation of hydraulic turbines associated with technological defects and exhaustion of the standard resource are described. The main requirements for initial data to be used in estimation of the residual resource and the requirements for predicting the residual resource of runners based on the results of surveys and analysis of their technical condition are specified. We have classified and briefly described the applied approaches and techniques used in estimati

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Brandão, Filipe, Ricardo Correia, and Alexandra Paio. "Measuring Urban Renewal: A Dual Kernel Density Estimation to Assess the Intensity of Building Renovation—Case Study in Lisbon." Urban Science 2, no. 3 (2018): 91. http://dx.doi.org/10.3390/urbansci2030091.

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In the cities of post-industrialized countries, renovation is the main part of building construction activity and has a major urban impact. Measuring this ongoing phenomenon and its distribution is of great usefulness for municipality urban planning and public policies. In this context, it is essential to introduce tools and processes that can allow for describing and predict how building renovation evolves. Open databases have become a valuable resource for observing processes and interactions in urban context. Data-driven analysis methods were used to directly interact with open city data, t

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Fowler, H. J., C. G. Kilsby, and P. E. O’Connell. "A stochastic rainfall model for the assessment of regional water resource systems under changed climatic condition." Hydrology and Earth System Sciences 4, no. 2 (2000): 263–81. http://dx.doi.org/10.5194/hess-4-263-2000.

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Abstract. A stochastic model is developed for the synthesis of daily precipitation using conditioning by weather types. Daily precipitation statistics at multiple sites within the region of Yorkshire, UK, are linked to objective Lamb weather types (LWTs) and used to split the region into three distinct precipitation sub-regions. Using a variance minimisation criterion, the 27 LWTs are clustered into three physically realistic groups or ‘states'. A semi-Markov chain model is used to synthesise long sequences of weather states, maintaining the observed persistence and transition probabilities. T

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Shi, Yan, Yan Wu, Bingrong Chen, Da Wang, and Min Deng. "A Formation Mechanism of Spatial Distribution Pattern of Industrial Clusters under Flow Space." Applied Sciences 13, no. 11 (2023): 6704. http://dx.doi.org/10.3390/app13116704.

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This study focuses on analyzing the spatial distribution pattern and formation mechanisms of urban industrial clusters and aims to address the mismatch between industrial clusters and resource distribution. Firstly, the spatial distribution pattern of industrial clusters is analyzed using the kernel density estimation approach. Subsequently, a multi-layered model of interactive driving factors is constructed to analyze the functional types within the multi-layered network space. Lastly, a spatial weighted regression analysis model, considering the intensity of flow space, is developed to explo

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Grishko, Natalya, Yaroslava Yakovenko, Anna Savielova, Andriy Soroka, and Kateryna Liventsova. "ESTIMATION OF THE EFFICIENCY OF THE MANAGEMENT SYSTEM OF WATER USE PROJECTS IN THE CONTEXT OF IMPLEMENTATION OF THE SUSTAINABLE DEVELOPMENT STRATEGY." Bulletin of the National Technical University "Kharkiv Polytechnic Institute" (economic sciences), no. 1 (January 14, 2022): 20–26. http://dx.doi.org/10.20998/2519-4461.2022.1.20.

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The article deals wiith topical issues of a comprehensive assessment of the effectiveness of the water management system in industrial cities of Ukraine. It was claimed that it is advisable to draw attention to assessing the impact of the consequences of the transformation of technogenically altered water systems on the socio-economic safety of industrial cities. It was also noted that an integral part of the implementation of the regional development strategy in the diagnosis of the state of water resources in cities on the territory of Ukraine, the search for optimal ways to neutralize the n

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R, Krishnamoorthy, Udhayakumar K, Kannadasan Raju, Rajvikram Madurai Elavarasan, and Lucian Mihet-Popa. "An Assessment of Onshore and Offshore Wind Energy Potential in India Using Moth Flame Optimization." Energies 13, no. 12 (2020): 3063. http://dx.doi.org/10.3390/en13123063.

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Wind energy is one of the supremely renewable energy sources and has been widely established worldwide. Due to strong seasonal variations in the wind resource, accurate predictions of wind resource assessment and appropriate wind speed distribution models (for any location) are the significant facets for planning and commissioning wind farms. In this work, the wind characteristics and wind potential assessment of onshore, offshore, and nearshore locations of India—particularly Kayathar in Tamilnadu, the Gulf of Khambhat, and Jafrabad in Gujarat—are statistically analyzed with wind distribution

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WANG, Xingmin, Jing WU, Zheng WANG, Xiaoting JIA, and Bing BAI. "Accounting and Characteristics Analysis of CO2 Emissions in Chinese Cities." Chinese Journal of Urban and Environmental Studies 08, no. 01 (2020): 2050004. http://dx.doi.org/10.1142/s2345748120500049.

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Accurate estimation of CO2 emissions is a prerequisite for scientific low-carbon emission policymaking. Based on 20 types of energy consumption data at the prefecture level in China, this paper re-estimates the CO2 emissions of 198 prefecture-level cities in 2016 by using the method of carbon emission coefficient. The spatial pattern and scale characteristics are analyzed, and the conclusions are as follows: (1) Overall, China’s urban CO2 emissions show a certain degree of spatial separation in terms of the total amount, per capita emissions, and emission intensity. Cities with the highest CO2

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Kim, Dong Jun, Jung Ho Lee, and Ha Yong Kim. "Estimation of the Optimal Storage Capacity of Rainwater Harvesting System Considering Regional Climate Characteristics." Journal of the Korean Society of Hazard Mitigation 23, no. 5 (2023): 155–64. http://dx.doi.org/10.9798/kosham.2023.23.5.155.

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Due to the influence of climate change, the frequency and intensity of droughts in the Korean Peninsula regions are increasing. Moreover, regional rainfall deviations are increasing, increasing the severity of localized droughts. Accordingly, it is necessary to enhance water resource utilization through recycling and establishing a robust safety net for water supply. This necessitates the implementation of rainwater harvesting systems to augment water reuse capabilities. When planning the storage capacity of a rainwater harvesting system, it is important to calculate the appropriate capacity.

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Talama, Fatonga, Saiyad S. Kutty, Ajal Kumar, MGM Khan, and M. Rafiuddin Ahmed. "Assessment of wind energy potential for Tuvalu with accurate estimation of Weibull parameters." Energy Exploration & Exploitation 38, no. 5 (2020): 1742–73. http://dx.doi.org/10.1177/0144598720940874.

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Wind resource assessments are carried out for two sites in Tuvalu: Funafuti and Nukufetau. The wind speeds at 34 and 20 m above ground level were recorded for approximately 12 months and analyzed. The averages of each site are computed as the overall, daily, monthly, annual, and seasonal averages. The overall average wind speeds for Funafuti and Nukufetau at 34 m above ground level were estimated to be 6.19 and 5.36 m/s, respectively. The turbulence intensities at the two sites were also analyzed. The turbulence intensity is also computed for windy and low-wind days. Wind shear analysis was ca

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Kang, Minhyeop, Kyungnam Ko, and Minyeong Kim. "Verification of the Reliability of Offshore Wind Resource Prediction Using an Atmosphere–Ocean Coupled Model." Energies 13, no. 1 (2020): 254. http://dx.doi.org/10.3390/en13010254.

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An atmosphere–ocean coupled model is proposed as an optimal numerical prediction method for the offshore wind resource. Meteorological prediction models are mainly used for wind speed prediction, with active studies using atmospheric models. Seawater mixing occurring at sea due to solar radiation and wind intensity can significantly change the sea surface temperature (SST), an important variable for predicting wind resources and energy production, considering its wind effect, within a short time. This study used the weather research forecasting and ocean mixed layer (WRF-OML) model, an atmosph

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Li, Yilong, Zhenguo Zhang, Wenqiang Wang, and Xuping Feng. "Rapid Estimation of Earthquake Fatalities in Mainland China Based on Physical Simulation and Empirical Statistics—A Case Study of the 2021 Yangbi Earthquake." International Journal of Environmental Research and Public Health 19, no. 11 (2022): 6820. http://dx.doi.org/10.3390/ijerph19116820.

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At present, earthquakes cannot be predicted. Scientific decision-making and rescue after an earthquake are the main means of mitigating the immediate consequences of earthquake disasters. If emergency response level and earthquake-related fatalities can be estimated rapidly and quantitatively, this estimation will provide timely, scientific guidance to government organizations and relevant institutions to make decisions on earthquake relief and resource allocation, thereby reducing potential losses. To achieve this goal, a rapid earthquake fatality estimation method for Mainland China is propo

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Kupriyanov, Dmitriy O. "MATHEMATICAL MODELING OF REQUESTS FLOW TO CLOUD COMPUTE CLUSTER." T-Comm 14, no. 10 (2020): 39–44. http://dx.doi.org/10.36724/2072-8735-2020-14-10-39-44.

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Quality of service parameters estimation becomes even more valuable when using cloud compute services. Mathematical model of described cloud-deployed web application in terms of Processor Sharing (PS) policy for mono-service traffic type proposed in this research. This model has Poisson distribution of the incoming requests flow with intensity ?. Requests awaiting in queue, queue length is considered to be unlimited and all requests should be served. Request in this system is HTTP request with a special payload in JSON format. The size of this payload is different for each request but it lies

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Tang, Biao, Xia Wang, Qian Li, et al. "Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions." Journal of Clinical Medicine 9, no. 2 (2020): 462. http://dx.doi.org/10.3390/jcm9020462.

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Since the emergence of the first cases in Wuhan, China, the novel coronavirus (2019-nCoV) infection has been quickly spreading out to other provinces and neighboring countries. Estimation of the basic reproduction number by means of mathematical modeling can be helpful for determining the potential and severity of an outbreak and providing critical information for identifying the type of disease interventions and intensity. A deterministic compartmental model was devised based on the clinical progression of the disease, epidemiological status of the individuals, and intervention measures. The

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Zhang, Lingjun, Yinyin Zhao, Chao Chen, et al. "UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests." Remote Sensing 16, no. 4 (2024): 705. http://dx.doi.org/10.3390/rs16040705.

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Moso bamboo forests, recognized as a distinctive and significant forest resource in subtropical China, contribute substantially to efficient carbon sequestration. The accurate assessment of the aboveground biomass (AGB) in Moso bamboo forests is crucial for evaluating their impact on the carbon balance within forest ecosystems at a regional scale. In this study, we focused on the Moso bamboo forest located in Shanchuan Township, Zhejiang Province, China. The primary objective was to utilize various data sources, namely UAV-LiDAR (UL), Sentinel-2 (ST), and a combination of UAV-LiDAR with Sentin

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