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1

Färe, Rolf, Shawna Grosskopf, and Valentin Zelenyuk. "Aggregation of Nerlovian profit indicator." Applied Economics Letters 15, no. 11 (2008): 845–47. http://dx.doi.org/10.1080/13504850600825584.

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Lee, Jong Seok, and Hyun Il Choi. "Comparative Analysis of Flood Vulnerability Indicators by Aggregation Frameworks for the IPCC’s Assessment Components to Climate Change." Applied Sciences 9, no. 11 (2019): 2321. http://dx.doi.org/10.3390/app9112321.

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As severe flood damages have been increasing due to climate change, the flood vulnerability assessment is needed in the flood mitigation plans to cope with climate-related flood disasters. Since the Intergovernmental Panel on Climate Change Third Assessment Report (IPCC TAR) presented the three assessment components, such as exposure, sensitivity, and adaptability for the vulnerability to climate change, several aggregation frameworks have been used to compile individual components into the composite indicators to measure the flood vulnerability. It is therefore necessary to select an appropriate aggregation framework for the flood vulnerability assessments because the aggregation frameworks can have a large influence on the composite indicator outcomes. For a comparative analysis of flood vulnerability indicators across different aggregation frameworks for the IPCC’s assessment components, the composite indicators are derived by four representative types of aggregation frameworks with all the same proxy variable set in the Republic of Korea. It is found in the study site that there is a key driver component of the composite indicator outcomes and the flood vulnerability outcomes largely depend on whether the key component is treated independently or dependently in each aggregation framework. It is concluded that the selection of an aggregation framework can be based on the correlation and causality analysis to determine the relative contribution of the assessment components to the overall performance of the composite indicators across different aggregation frameworks.
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Ruiz, Francisco, and José Manuel Cabello. "MRP-PCI: A Multiple Reference Point Based Partially Compensatory Composite Indicator for Sustainability Assessment." Sustainability 13, no. 3 (2021): 1261. http://dx.doi.org/10.3390/su13031261.

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Assessing different types of sustainability is a complex procedure, which implies considering aspects of very different nature. One way to do this is using a system of single indicators measuring all these different aspects and aggregating them in an overall composite indicator. In line with the concepts of weak and strong sustainability, the compensability degree among the indicators allowed by the aggregation procedure is a crucial issue. There exist methods that allow for full compensability, zero compensability, or partial compensability. In most of them, the compensation degree is established in a global way, that is, it is the same for all the indicators. In this paper, we develop the Multiple Reference Point Partially Compensatory Indicator (MRP-PCI), where a different compensation index can be established for each indicator. The resulting method can be applied to any system of indicators, and successfully considers the compensation indices given. Some examples and comparisons are used to illustrate its behavior.
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Козлов, В. В., А. В. Лагун, and В. А. Харченко. "Aggregation procedure of the fractal system indicators of rocket-space complex assessment." Вестник НПО им. С.А. Лавочкина, no. 1(63) (March 11, 2024): 82–88. http://dx.doi.org/10.26162/ls.2024.63.1.012.

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В статье представлены процедуры агрегирования частных показателей фрактальной системы оценки эффективности процессов функционирования ракетно-космических комплексов и частичных показателей в итоговую оценку был проверен с использованием одинаковых значений частичных показателей. Алгоритм агрегирования представлен результатами численных экспериментов с произвольно заданными значениями частных показателей. Результаты представленного алгоритма агрегирования частных показателей эффективности фрактальной иерархической системы оценки позволяют сравнить эффективность процессов функционирования различных комплексов и наметить пути повышения уровня качества комплекса The article presents procedures for particular indicators aggregation of a fractal system of the rocket-space complexes functioning efficiency assessment. The algorithm for the partial indicators aggregation into the final assessment was verified by identical values of partial indicators. The aggregation algorithm is presented by the results of numerical experiments with arbitrarily assigned values of partial indicators. The results of the presented algorithm for aggregating partial efficiency indicators of a fractal hierarchical evaluation system allow us to compare the efficiency of the functioning processes of various complexes and outline ways to improve the quality level of the complex. Key words: rocket-space complex; property; property indicator; fractal hierarchical evaluation system; semantics; morphological analysis; dimensional analysis; convolution of property indicators
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Maisano, Domenico, and Luca Mastrogiacomo. "Checking the Consistency of Solutions in Decision-Making Problems with Multiple Weighted Agents." International Journal of Decision Support System Technology 10, no. 1 (2018): 39–58. http://dx.doi.org/10.4018/ijdsst.2018010103.

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A decision-making problem diffused in various practical contexts is that of aggregating multi-agent judgements into a consensus ordering, in the case the agents' importance is expressed through a set of weights. A crucial point in this aggregation is that the consensus ordering well reflects the input data, i.e., agents' judgements and importance. The scientific literature encompasses several aggregation techniques, even if it does not include a versatile tool for a quantitative assessment and comparison of their performance. The aim of this paper is introducing a new indicator (p), which allows to verify the degree of consistency between consensus ordering and input data. This indicator is simple, intuitive and independent from the aggregation technique in use; for this reason, it can be applied to a variety of practical contexts and used to compare the results obtained through different aggregation techniques, when applied to a specific problem. The description is supported by various application examples.
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6

Krasnov, A. E., and A. A. Sapogov. "Service quality assessment in IT projects based on aggregate indicators." Russian Technological Journal 12, no. 5 (2024): 90–97. http://dx.doi.org/10.32362/2500-316x-2024-12-5-90-97.

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Objectives. Due to the need for prompt and rational assessment of service quality within the framework of complex IT projects, including infrastructure servicing and maintenance, which often involve a large number of identical or similar iterations, it becomes necessary to develop novel analysis methods based on nonlinear aggregation of indicators. As a result of changes in the structure of the process, territorial remoteness, automation, informatization, and the emergence of big data, the use of existing assessment methods often becomes impossible or labor-intensive. The purpose of the present work is to develop an approach to assessing the quality of work (services) in the framework of IT projects based on nonlinear aggregation of indicators.Methods. The proposed approach to assessing service quality within IT projects is based on nonlinear aggregation of a number of indicators involving a preliminary decomposition of the system into private indicators. In order to meet the requirements of the decomposition process, service quality indicators must fully characterize the properties of the service as a whole at the different stages of its life cycle.Results. The application of the proposed nonlinear aggregation methodology to quality indicators obtained by decomposing the system is described with the further calculation of a single indicator that takes all the essential initial parametric indicators into account. The decomposition of complex systems to the level of elementary relationship subsystems more adequately reflects interrelated phenomena in a complex system.Conclusions. The practical application of the neural network parametric data aggregation model for assessing the quality of IT services is demonstrated. The use of an aggregated information and analytical indicator for assessing service quality increases the availability of analytical information for decision makers, reduces the dimension of analytical data, and improves the objectivity of the obtained generalized information.
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Kosaric, N., E. M. Mahoney, L. K. Varangu, and W. L. Cairns. "Cell Surface and Aggregation Studies of Microbes from Anaerobic Systems." Water Quality Research Journal 22, no. 2 (1987): 289–97. http://dx.doi.org/10.2166/wqrj.1987.022.

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Abstract Studies were performed to evaluate cell surface properties of aggregated microbial granules from anaerobic digestion systems. Cell surface properties (hydrophobicity/hydrophilicity) were obtained by contact angle measurements in an aqueous phase. The cells’ charges were evaluated by measuring zeta potential and settlability was used as a measure of aggregating of cells under various experimental conditions. Flocculation tests have shown to be a good indicator of aggregation ability between cells. Aggregation can be modulated by changing those environmental and engineering parameters which can be measured by contact angle and zeta potential.
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Sapogov, A. A. "DETERMINING MANAGEMENT PRIORITIES FOR IMPLEMENTING THEIR PROJECTS BASED ON THE AGGREGATION OF A NUMBER OF INDICATORS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 244 (October 2024): 42–49. https://doi.org/10.14489/vkit.2024.10.pp.042-049.

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The need to reasonably determine the priority of processing and resolving a number of streaming requests, user requests, client groups within the framework of complex IT projects, such as service, maintenance of IT infrastructure, including the implementation of streaming iterations, predetermines the need to develop new methods based on the use of aggregated indicators of a number of data. The use of previous methods, including methods of queuing theory, is often irrational or occurs in parallel due to the specifics of the task, the characteristics of iterations, changes in the structure of receipt and processing of service requests, territorial division, automation, informatization and the need to process large streaming data. Аn approach to determining management priorities for processing and resolving streaming requests within IT projects based on the aggregation of a number of quality indicators is proposed. As part of the work, multi-vector quality characteristics have been established that reflect the state of the process of accepting a service request for processing, representing them in the form of vectors of values with criterion indicators. An aggregated information and analytical indicator of the priority of a single service request was calculated. A methodological approach to neural network parametric aggregation was used as an aggregation technique. It is concluded that the indicator of the priority of a single service request, obtained using the neural network parametric aggregation model, correlates with the set of initial data and adequately and generally reflects the totality of initial indicators. In addition, this model makes it possible to predict changes when the qualitative parameters included in the calculation shift.
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Xiong, Yanna, Tianyi Zhang, Xi Sun, et al. "Groundwater Quality Assessment Based on the Random Forest Water Quality Index—Taking Karamay City as an Example." Sustainability 15, no. 19 (2023): 14477. http://dx.doi.org/10.3390/su151914477.

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In the past few decades, global industrial development and population growth have led to a scarcity of water resources, making sustainable management of groundwater a global challenge. The Water Quality Index (WQI) serves as a comprehensive method for assessing water quality and can provide valuable recommendations at the water quality level, optimizing policies for groundwater management. However, the subjectivity and uncertainty of the traditional WQI have negative impacts on evaluation outcomes, particularly in determining indicator weights and selecting aggregation functions. The proposed water quality index for groundwater based on the random forest (RFWQI) model in this study addresses these issues. It selects water quality indicators based on the actual pollution situation in the study area, employs an advanced random forest model to rank water quality indicators, determines indicator weights using the rank centroid method, scores the indicators using a sub-index function designed for groundwater development, and compares the results of two commonly used aggregation functions to identify the optimal one. Based on the aggregated scores, the water quality at 137 monitoring sites is classified into five levels: “Excellent”, “Good”, “Medium”, “Poor”, or “Unacceptable”. Among the 11 water quality indicators (sodium, sulfate, chloride, bicarbonate, total dissolved solids, fluoride, boron, nitrate, pH, CODMn, and hardness), chloride was given the highest weight (0.236), followed by total dissolved solids (0.156), and sodium was given the lowest weight (0.008). The random forest model exhibits a good prediction capability before hyperparameter tuning (86% accuracy, RMSE of 0.378), and after grid search and five-fold cross-validation, the optimal hyperparameter combination is determined, further improving the performance of the random forest model (94% accuracy, F1-Score of 0.967, AUC of 0.91, RMSE of 0.232). For the newly developed groundwater sub-index function, interpolation is used to score each indicator, and after comparing two aggregation functions, the NSF aggregation function is selected as the most suitable for groundwater assessment. Overall, most of the groundwater in the study area was of poor quality (52.5% of low quality) and not suitable for drinking.
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Monda, Mafalda, Giuliano Gabrieli, and Matteo Mazziotta. "An indicator of well-being for Italian agriculture." RIVISTA DI ECONOMIA AGRARIA 76, no. 2 (2021): 57–72. https://doi.org/10.36253/rea-13097.

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The paper presents a composite indicator of well-being for Italian agriculture.Well-being is defined as the health condition of the agricultural sector from the point of view of farmers. The indicator is based on four dimensions: social, environmental, institutional and economic, allowing comparability of well-being at regional level. The novelty of the approach consists in presenting a well-being indicator at sectorial level, by applying a new method of aggregation, the Adjusted Mazziotta-Pareto index (2016). It is a non-compensatory approach for summarizing a set of individual indicators which accounts for unbalanced distribution among the indicators. Results show that central and northern regions are in the top ten for the regional agricultural well-being in years 2013 and 2016.
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11

LIM, HOCK-EAM. "ESTIMATING THE EMPLOYMENT PERFORMANCE INDICATOR: THE CASE OF UNIVERSITI UTARA MALAYSIA GRADUATES." Singapore Economic Review 52, no. 01 (2007): 73–91. http://dx.doi.org/10.1142/s0217590807002579.

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This paper proposes an alternate method of estimating the employment performance indicator using the Cox Proportional Hazard model with competing risk framework. Simple aggregation and the logit model have also been used in the estimating for comparison purpose. Using the data of Universiti Utara Malaysia graduates, the study finds that the Bachelor of Accounting degree has the highest employment performance indicator. There are significant differences found in the employment performance ranking as constructed by the proportional hazard model, logit model and simple aggregation.
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12

Martellos, Stefano, Matteo Conti, and Pier Luigi Nimis. "Aggregation of Italian Lichen Data in ITALIC 7.0." Journal of Fungi 9, no. 5 (2023): 556. http://dx.doi.org/10.3390/jof9050556.

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The creation of a coordinated publishing and aggregation system of biodiversity data is a challenging task, which calls for the adoption of open data standards. ITALIC, the information system on Italian lichens, originated from the conversion of the first Italian checklist into a database. While the first version was “frozen”, the present version is continuously updated and provides access to several other data sources and services, such as ecological indicator values, ecological notes and information, traits, images, digital identification keys, etc. The identification keys especially are an ongoing work that will lead to a complete national flora by 2026. Last year, new services were added, one for aligning lists of names with the national checklist, the other for aggregating occurrence data deriving from the digitization of 13 Italian herbaria, forming a total of ca. 88,000 records, which are distributed under a CC BY license and can be exported as CSV files in the Darwin Core format. An aggregator for lichen data will encourage the national community of lichenologists to produce and aggregate further data sets, and it will stimulate data reuse according to the paradigms of open science.
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Garcia-Bernabeu, Ana, José Manuel Cabello, and Francisco Ruiz. "A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain." Mathematics 8, no. 5 (2020): 797. http://dx.doi.org/10.3390/math8050797.

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The evaluation of regional innovation performance through composite innovation indices can serve as a valuable tool for policy-making. While discussion on the best methodology to construct composite innovation indices continues, we are interested in deepening the use of reference levels and the aggregation issue. So far, additive aggregation methods are, largely, the most widespread aggregation rule, thus allowing for full compensability among single indicators. In this paper, we present an integrated assessment methodology to evaluate regional innovation performance using the Multi-Reference Point based Weak and Strong Composite Indicator (MRP-WSCI) approach, which allows defining reference levels and different degrees of compensability. As an example of application to the Regional Innovation Scoreboard, the proposed technique is developed to measure the innovation performance of Spain’s regions taking into account Spanish and European reference levels. The main features of the proposed approach are: (i) absolute or relative reference levels could be previously defined by the decision maker; (ii) by establishing the reference levels, the resulting composite innovation index is an easy-to-interpret measure; and (iii) the non-compensatory strong composite indicator provides an additional layer of information for policy-making (iv) a visualization tool called Light-Diagram is proposed to track the specific strengths and weaknesses of the regions’ innovation performance.
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Vann, Katie. "Surplus and Indicator." Engaging Science, Technology, and Society 3 (February 17, 2017): 92. http://dx.doi.org/10.17351/ests2017.113.

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This essay offers a perspective on journal impact factor (JIF) centrism in academic evaluation from the vantage point of academic publishing in an increasingly data-driven scholarly environment. The political implications and orientations to the JIF are thought through with respect both to commercial publishing industry consolidation and to the reliance of public-sector scholarly communities on (oligopolistic) commercial academic publishing houses. The author proposes that centrism to the JIF as a legitimizing indicator and incentivizing norm leads to two diametrically opposed forms of “surplus”: for academic communities, surplus emerges in the form of layers of scholarly knowledge effects/impact and labor, which, because they remain foreclosed to formal professional recognition, are inadvertently reconstructed as dispensable (waste); for private sector publishing companies––whose contribution to the publishing process consists foremost in providing scalable content management/distribution platforms and in transforming unique manuscript content into standardized digital objects that are amenable to indexing, aggregation, and comparative calculation––surplus emerges in the form of monetary surplus (profit). The essay describes the inner workings of these phenomena.
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Boal-San Miguel, Iván, and Luis César Herrero-Prieto. "Reliability of Creative Composite Indicators with Territorial Specification in the EU." Sustainability 12, no. 8 (2020): 3070. http://dx.doi.org/10.3390/su12083070.

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There is wide consensus regarding the capacity of the creative economy as a factor in economic development and sustainability in regions in the medium term, and it is an issue that has aroused interest in measuring the creative potential of areas by estimating composite indicators. Most works posit indicators by countries or cities and normally employ a single aggregation method. This work proposes the construction of a synthetic indicator of creativity with regional disaggregation for a wide sample of European countries, comparing different aggregation methods under the hypothesis of the benefit of the doubt (BoD). We use Eurostat data and also analyse spatial dependence processes. Findings point to an inequality in the regional distribution of creativity in Europe and this reveals creative gap models in areas, suggesting that creativity triggers greater spatial disparities wherever it is found. The principal creative clusters are located in regions in central and northern Europe, particularly in regions with national capitals. The regional distribution of the indicator evidences positive spatial dependence, thereby revealing the existence of spatial externalities that provide feedback for the concentration process and, therefore, a widening of the disparities.
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Hayes, Laura E., and Xi Zheng. "Aggregation of Connecticut Towns for Precise Population Health Indicator Assessment." Annals of Epidemiology 27, no. 8 (2017): 524–25. http://dx.doi.org/10.1016/j.annepidem.2017.07.136.

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Agosto, Arianna, and Alessandra Tanda. "Divergence and aggregation of ESG ratings: A survey." Open Research Europe 5 (January 30, 2025): 28. https://doi.org/10.12688/openreseurope.19238.1.

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Purpose This paper reviews the existing literature on the divergence of Environmental, Social, and Governance (ESG) ratings and explores various aggregation methods. It highlights the challenges posed by inconsistent ESG ratings and their implications for investment decisions. Design/methodology/approach The study conducts a comprehensive review of prior research focusing on ESG ratings, examining their correlation levels and the methodologies employed to assess corporate sustainability. It also investigates traditional aggregation techniques and modern machine learning approaches used to address these inconsistencies. Findings Past literature reveals that ESG ratings exhibit a low level of correlation across different providers, raising concerns about their reliability as investment indicators. Although some studies propose advanced aggregation methods to enhance accuracy, significant gaps remain in understanding how to effectively consolidate ESG information to create a dependable sustainability indicator. Originality This paper provides a critical analysis of the current state of ESG rating methodologies, emphasizing the need for improved aggregation strategies. It underscores the importance of future research in leveraging ESG data to develop more consistent and reliable measures of corporate sustainability.
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Agosto, Arianna, and Alessandra Tanda. "Divergence and aggregation of ESG ratings: A survey." Open Research Europe 5 (June 30, 2025): 28. https://doi.org/10.12688/openreseurope.19238.2.

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Purpose This paper reviews the existing literature on Environmental, Social, and Governance (ESG) ratings divergence and aggregation methods. It highlights the challenges posed by inconsistent ESG ratings and their implications for investment decisions. Design/methodology/approach The study conducts a comprehensive review of prior research focusing on ESG ratings, examining their correlation levels and the methodologies employed to assess corporate sustainability. It also investigates traditional aggregation techniques and modern machine learning approaches used to address these inconsistencies. Findings The review reveals that ESG ratings exhibit a low level of correlation across different providers, raising concerns about their reliability as investment indicators. Although some studies propose advanced aggregation methods to enhance accuracy, significant gaps remain in understanding how to effectively consolidate ESG information to create a dependable sustainability indicator. Originality This paper provides a critical analysis of the current state of ESG rating methodologies, emphasizing the need for improved aggregation strategies. It underscores the importance of future research in leveraging ESG data to develop more consistent and reliable measures of corporate sustainability.
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Hao, Dong, Runtong Zhang, and Kaiyuan Bai. "An integrated approach for service quality evaluation of online health communities based on q-rung orthopair fuzzy linguistic aggregation operators." Journal of Intelligent & Fuzzy Systems 42, no. 3 (2022): 1907–24. http://dx.doi.org/10.3233/jifs-211257.

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Online health communities (OHCs) have emerged as a significant platform for people communicating health information and self-healthcare management. In recent, the researches focusing on its performance measurement and the service quality evaluation have drawn intensive attention. Although some qualitative methods have made evaluation and analyses for the OHCs performance, the studies based on fuzzy multi-attribute decision making theory are rarely developed in the service quality evaluation of OHCs. In view of the complexity and uncertainty of evaluation mission, this paper develops an integrated evaluation approach of the OHC service quality based on the q-rung orthopair fuzzy linguistic aggregation operators. Firstly, we propose the cross-entropy of q-rung orthopair fuzzy numbers, which is applied in solving the optimal weight of indicators by a linear programming model. Next, the q-rung orthopair fuzzy linguistic power average (q-ROFLPA) and q-rung orthopair fuzzy linguistic partitioned dual Maclaurin symmetric mean (q-ROFLPDMSM) operators are developed for aggregating the assessment information and ranking the OHCs. Based on the proposed aggregation operators, the evaluation indicator system and an evaluation framework are constructed to accomplish the service quality evaluation of OHCs. Finally, a practical evaluation case of OHCs is provided to demonstrate the reliability and advantages of the proposed approach.
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Jiang, Renyan, and Binbin Xiong. "A hybrid approach for modelling multidimensional degradation processes." IOP Conference Series: Materials Science and Engineering 1207, no. 1 (2021): 012023. http://dx.doi.org/10.1088/1757-899x/1207/1/012023.

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Abstract Degradation processes are often multidimensional. Modeling such degradation processes needs to address two key issues: indicator fusion and degradation model selection; and they have been separately addressed in the literature. This paper proposes a hybrid approach to jointly address these two issues. The proposed approach first fuses multiple degradation indicators into a composite degradation indicator. This fusion step involves data normalization, aggregation model selection and determination of indicator weights. After the fusion step, the problem becomes one-dimensional, and the existing method to select the degradation model for a one-dimensional degradation process can be applied. The resulting model obtained from the proposed approach can be a two-phase model; and the model for the second phase has a closed-form expression. This considerably facilitates residual life prediction. A real-world example is included to illustrate the proposed approach and its appropriateness.
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Böhm, Jens, and Sonja Peterson. "Fossil Fuel Subsidy Inventories vs. Net Carbon Prices." Energy Journal 45, no. 4 (2024): 59–79. http://dx.doi.org/10.1177/01956574241277304.

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Price incentives for reducing fossil fuel related carbon emissions are an important component of effective and efficient climate policy. Current incentives stem from a mixture of energy taxes and carbon pricing (incentivizing less emissions) and diverse support measures for fossil fuels (incentivizing more emissions). We develop a net carbon price indicator that complements existing subsidy and carbon pricing indicators. It can be calculated on different aggregation levels and compared across countries. We calculate the different components and our aggregate indicator for the year 2018 and for eight countries including the worlds’ six largest emitters. Our analysis reveals large differences in net carbon prices across countries and across sectors within countries. We argue that the sectoral differences can inform about adequate national policy reforms while the aggregate national indicator can be useful for international negotiations about comparable national efforts.
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Langhans, Simone D., Peter Reichert, and Nele Schuwirth. "The method matters: A guide for indicator aggregation in ecological assessments." Ecological Indicators 45 (October 2014): 494–507. http://dx.doi.org/10.1016/j.ecolind.2014.05.014.

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Zhou, P., B. W. Ang, and D. Q. Zhou. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach." Social Indicators Research 96, no. 1 (2009): 169–81. http://dx.doi.org/10.1007/s11205-009-9472-3.

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Machado, Elia A., and Samuel Ratick. "Implications of indicator aggregation methods for global change vulnerability reduction efforts." Mitigation and Adaptation Strategies for Global Change 23, no. 7 (2017): 1109–41. http://dx.doi.org/10.1007/s11027-017-9775-7.

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Ojaveer, Henn, and Margit Eero. "Methodological Challenges in Assessing the Environmental Status of a Marine Ecosystem: Case Study of the Baltic Sea." PLoS ONE 6, no. 4 (2011): e19231. https://doi.org/10.1371/journal.pone.0019231.

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Abstract Assessments of the environmental status of marine ecosystems are increasingly needed to inform management decisions and regulate human pressures to meet the objectives of environmental policies. This paper addresses some generic methodological challenges and related uncertainties involved in marine ecosystem assessment, using the central Baltic Sea as a case study. The objectives of good environmental status of the Baltic Sea are largely focusing on biodiversity, eutrophication and hazardous substances. In this paper, we conduct comparative evaluations of the status of these three segments, by applying different methodological approaches. Our analyses indicate that the assessment results are sensitive to a selection of indicators for ecological quality objectives that are affected by a broad spectrum of human activities and natural processes (biodiversity), less so for objectives that are influenced by a relatively narrow array of drivers (eutrophications, hazardous substances). The choice of indicator aggregation rule appeared to be of essential importance for assessment results for all three segments, whereas the hierarchical structure of indicators had only a minor influence. Trend-based assessment was shown to be a useful supplement to reference-based evaluation, being independent of the problems related to defining reference values and indicator aggregation methodologies. Results of this study will help in setting priorities for future efforts to improve environmental assessments in the Baltic Sea and elsewhere, and to ensure the transparency of the assessment procedure.
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Bonadonna, Giovanni, Clara Lechi, Paola Corradini, Daniela Sinigaglia, Piero De Togni, and Grzeskowiak Miroslawa. "Verapamil Inhibits Platelet Aggregation by a Calcium-Independent Mechanism." Thrombosis and Haemostasis 56, no. 03 (1986): 308–10. http://dx.doi.org/10.1055/s-0038-1661673.

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SummaryWe studied the inhibitory effects of the calcium channel blocker verapamil both on platelet aggregation and intracellular calcium [Ca2+]i in platelets loaded with a fluorescent indicator (quin 2).The inhibitory effects of verapamil on the platelet aggregation response to both thrombin and ionomycin were seen to be clearly dissociated from the verapamil-induced inhibition of the [Ca2+]i increase produced by these agonists. Verapamil-induced inhibition of platelet aggregation was also obtained when using the “calcium-independent” agonist phorbol-myristate acetate (PMA). It may be deduced that a calcium-independent mechanism plays a role in verapamil-induced inhibition of platelet aggregation. We postulate that this mechanism may operate via a protein-kinase C pathway.
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Valcárcel-Aguiar, Beatriz, Pilar Murias, and David Rodríguez-González. "Sustainable Urban Liveability: A Practical Proposal Based on a Composite Indicator." Sustainability 11, no. 1 (2018): 86. http://dx.doi.org/10.3390/su11010086.

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This article presents a proposal for a composite index to assess the degree of sustainable urban liveability. It makes two key contributions to this field of study. The first is a proposal for the concept of sustainable urban liveability that includes the need to meet a minimum number of environmental conditions in terms of resource consumption and the deterioration of the environment. The second contribution is the use of a non-compensatory aggregation technique in order to construct the composite index. This kind of aggregation technique does not allow trade-offs between partial indicators. In the particular context of sustainable urban liveability, it prevents poor performance by the natural environment indicators from being compensated by positive results in the remaining indicators. The proposed composite index for sustainable urban liveability is applied to the case of 58 Spanish cities. The results reveal significant differences in the degree of sustainable urban liveability for this group of cities, but more importantly, they highlight the potential of this proposal for urban management.
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Grdinić-Rakonjac, Mirjana, Boris Antić, Dalibor Pešić, and Vladimir Pajković. "Construction of Road Safety Composite Indicator Using Grey Relational Analysis." Promet - Traffic&Transportation 33, no. 1 (2021): 103–16. http://dx.doi.org/10.7307/ptt.v33i1.3587.

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Aggregation of different variables into one road safety performance index is a popular concept in evaluating road safety and comparing the performance of territories/entities. This paper presents the development of a novel and innovative weighting methodology using grey relational analysis. Based on the proposed model, ten hierarchical road safety indicators were selected in terms of a two-layered model with three categories related to behaviour, safety and system. Grey weights are assigned to the categorized indicators in each layer, and the grey road safety composite indicator for each entity (21 selected territories) is calculated by the weighted sum approach. With relatively high weights, this systematic methodology can serve the policy makers in targeting the risk domains where improvements are needed. The results clearly illustrate effectiveness in addressing a large number of indicators with hierarchical structures.
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Li, Mei, Hao Yue, Bin Ya Zhang, and Xue Yu Mi. "Spatial Characteristic Indicator of Pedestrian Facilities for Evacuation." Advanced Materials Research 989-994 (July 2014): 5508–11. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5508.

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The spatial characteristic indicators of pedestrian facilities for evacuation are presented in order to contribute to the organization and management of pedestrian evacuation flow. An evacuation network is constructed based on the spatial layout of pedestrian facilities, in which the nodes represent moving sub-areas and two-way arc is on behalf of moving bottlenecks. Spatial characteristic indicators are built based on Multiple Origins Single Destination (MOSD) evacuation network including movement distance, movement amount, evacuation bottleneck, and evacuation aggregation extent. Through a case, the computation and application of the spatial characteristic indicators are presented in the layout analysis of pedestrian facilities, in which relevant improvement measures of spatial layout are advised.
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De Montis, Andrea, Vittorio Serra, Amedeo Ganciu, and Antonio Ledda. "Assessing Landscape Fragmentation: A Composite Indicator." Sustainability 12, no. 22 (2020): 9632. http://dx.doi.org/10.3390/su12229632.

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The assessment and management of landscape fragmentation (LF), i.e., the subdivision of the habitat into smaller and more isolated patches, can benefit from the adoption of a composite indicator explaining, in a unique measure, the various concerns involved. However, the use of composite indicators may be affected by lack of data, subjectivity in algorithm design, and oversimplification connected to reduction to just one index. In these cases, the findings obtained might not provide the researcher with reliable information. In this paper, we design and apply the Composite Indicator of Landscape Fragmentation (CILF), a metric resuming three indicators concerning the effect on LF of transport and mobility infrastructures, human settlements, and patch density per se. The application concerns the measurement of LF spatial pattern and dynamics from 2003 to 2008 of 51 landscape units in the island of Sardinia (Italy). We considered a complete spatial data set, chose the generalized geometric mean as aggregation algorithm, and verified its robustness via sensitivity analysis of the results. We found that, in 2003 and 2008, the CILF spatial pattern shows higher values in coastal areas and has varied randomly, i.e., without a consistent tendency to converge to, or diverge from, a mean value. Overall, we demonstrate that the CILF is a powerful instrument for monitoring LF in Sardinia and advocate that it can be further implemented, following the same methodological framework, by extending the pool of indicators considered and assessing a weighted version of the composite indicator.
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Zheng, Hongmei, Shiwei Hou, Jing Liu, Yanna Xiong, and Yuxin Wang. "Advanced Machine Learning and Water Quality Index (WQI) Assessment: Evaluating Groundwater Quality at the Yopurga Landfill." Water 16, no. 12 (2024): 1666. http://dx.doi.org/10.3390/w16121666.

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As industrial development and population growth continue, water pollution has become increasingly severe, particularly in rapidly industrializing regions like the area surrounding the Yopurga landfill. Ensuring water resource safety and environmental protection necessitates effective water quality monitoring and assessment. This paper explores the application of advanced machine learning technologies and the Water Quality Index (WQI) model as a comprehensive method for accurately assessing groundwater quality near the Yopurga landfill. The methodology involves selecting water quality indicators based on available data and the hydrochemical characteristics of the study area, comparing the performance of Decision Trees, Random Forest, and Xgboost algorithms in predicting water quality, and identifying the optimal algorithm to determine indicator weights. Indicators are scored using appropriate sub-index (SI) functions, and six different aggregation functions are compared to find the most suitable one. The study reveals that the Xgboost model surpasses Decision Trees and Random Forest models in water quality prediction. The top three indicator weights identified are pH, Manganese (Mn), and Nickel (Ni). The SWM model, with a 0% overestimation eclipsing rate and a 34% underestimation eclipsing rate, is chosen as the most appropriate WQI model for evaluating groundwater quality at the Yopurga landfill. According to the WQI results from the SWM aggregation function, the overall water quality in the area ranges from moderately polluted to slightly polluted. These assessment results provide a scientific basis for regional water environment protection.
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RUMAKAT, ABDUL ASIS, IWAN JUWANA, and SITI AINUN. "Penyusunan Indeks Tingkat Pelayanan Sistem Pengelolaan Sampah Kota." Jurnal Reka Lingkungan 9, no. 1 (2020): 23–33. http://dx.doi.org/10.26760/rekalingkungan.v9i1.23-33.

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AbstrakData PD. Kebersihan Kota Bandung, menunjukkan persentase tingkat pelayanan sampah pada tahun 2017 sebesar 98,14%. Namun pada kenyataannya, masih banyak ditemukan tumpukan sampah di beberapa tempat yang bukan peruntukannya, hal ini menunjukkan angka tersebut belum dapat mewakili pelayanan sampah secara keseluruhan. Penelitian ini bertujuan untuk menyusun indeks yang digunakan untuk menilai kinerja pelayanan sampah kota. Indeks ini disusun dengan cara mengidentifikasi komponen, indikator dan sub-indikator, menentukan kriteria penilaian, melakukan pembobotan, melakukan penggabungan serta menyusun interpretasi indeks. Terdapat 5 komponen, 26 indikator dan 21 sub-indikator yang teridentifikasi. Pembobotan dilakukan dengan pemberian nilai berbeda pada komponen, indikator dan sub-indikator dengan metode aritmatik. Interpretasi indeks dibuat kedalam 5 kategori dengan skala 0-100. Dari hasil penyusunan indeks ini, selanjutnya akan digunakan untuk menilai tingkat pelayanan persampahan di Kota Bandung.Kata kunci : tingkat pelayanan, komponen, indikator, sub-indikator. AbstractAccording to the data from PD Kebersihan Kota Bandung, in 2017 the percentage of the performance level of solid waste is 98.14%. However, it is visible that a large amount of solid waste dumped directly to the environment. This indicates that the existing service level performance value is unable to represent the overall solid waste service. Thus, this study aims to develop a solid waste service level index. This study was undertaken by selecting components, indicators and sub-indicators, determining the weights for the components, indicators and sub-indicators, as well as defining the aggregation and interpretation of the final index. Thorough this study, 5 components, 26 indicators and 21 sub-indicators were identified. The chosen weights for the index was the different weighting. Aggregation index using arithmetic method with the interpretation of the final index will be based on 5 categories of 0-100 scale. Keywords : service level, component, indicator, sub-indicator.
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Havlovska, Ya Yu. "HEMOSTASIOLOGICAL PARAMETERS AND SEVERITY OF STROKE AMONG PATIENTS WITH ATHEROTROMBOTIC AND CARDIEMOBOLIC SUBTYPES." Актуальні проблеми сучасної медицини: Вісник Української медичної стоматологічної академії 21, no. 2 (2021): 34–38. http://dx.doi.org/10.31718/2077-1096.21.2.34.

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The aim of this study is to investigate the differences in hemostasiological parameters among patients with atherotrombotic and cardiemobolic subtypes of ischemic stroke and the relationship between the parameters and the severity of the disease in the first day. The study included 68 patients who were examined on the first day of the disease with a diagnosis of acute cerebrovascular disorders on ischemic type, among them 47 (69%) men and 21 (31%) women aged from 42 to 75 years (the average age was 61,85 ± 2,33 years old). We quantified the stroke severity by using the National Institutes of Health Stroke Scale, findings of magnetic resonance tomography and / or computer tomography of the brain; ultrasound scan of intra- and extracranial vessels of the brain was performed to verify the diagnosis. Patients were divided into 2 groups: Group 1 included atherotrombotic subtype of ischemic stroke (n = 51 individuals), group 2 included cardiembolic subtype of ischemic stroke (n = 17 individuals. The state of the hemostasis system was studied by the analysis of complete coagulograms. The patients with ischemic stroke were found to have a thrombin time reduction compared to the control group. The dynamics of this indicator in the coagulogram points out an increased risk of thrombosis in the patients of both groups with a significant predominance among the patients with an atherotrombotic stroke. In both groups of the patients with ischemic stroke, there was a decrease in intensity, time and rate of aggregation in 30 seconds compared to the control group, indicating the imbalance of platelet response to adenosine diphosphate-induced aggregation. When the rate and intensity of aggregation (the lowering of platelet aggregation function) for 30 seconds decreased, the aggregation time (the activation of platelet function) also reduced. The analysis of coagulogram indicators points out the possibility of developing the syndrome of disseminated intravascular coagulation among patients with ischemic stroke. In this case, the decrease in the platelet aggregation properties indicates the development of thrombocytopathy under a preserved platelet number among the patients with ischemic stroke. The degree of the severity of atherotrombotic ischemic stroke is associated with indicators of coagulation hemostasis and platelet aggregation characteristics. The severity of cardioembolic ischemic stroke is associated with processes of platelet aggregation processes.
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Ma, Liping. "Evaluation of Monitoring Indicators of Antiplatelet Therapy." Blood 124, no. 21 (2014): 4996. http://dx.doi.org/10.1182/blood.v124.21.4996.4996.

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Abstract Background: It is known that antiplatelet therapy has become an important treatment of coronary artery disease. However, the standardized monitoring methods of antiplatelet drugs remain unestablished, since platelets are very easy to be activated, and the platelet function testing in vitro is difficult to standardization. Large-scale clinical trials can only rely on the probability of occurrence of ischemic time and massive bleeding in patients to determine the appropriate dose and type of antiplatelet drugs. Therefore, we hope to assess platelet function before and after antiplatelet therapy by using a variety of testing methods which include the platelet aggregation, thrombelastography, platelet VASP and CD62P expression. Objectives: In this study, we sought to optimize the combination of these methods and explore an effective, simple method for the monitoring of antiplatelet treatment. Methods: A total of 309 inpatients that were suffered from suspected coronary artery disease, and underwent CAG+PCI were enrolled between June 2013 and January 2014 in Department of Cardiology of Sun Yat-sen Memorial Hospital. All the eligible patients were divided into clopidogrel group (75 mg/d)£¬ aspirin group (100mg/d) and aspirin plus clopidogrel group (dual antiplatelet therapy, aspirin 100 mg/d plus clopidogrel 75 mg/d), and those with no previous history of antiplatelet treatment as the healthy control group. The testing indicators of platelet function were platelet aggregation, platelet CD62P expression and vasodilator stimulated phosphoprotein (VASP) phosphorylation level (PRI). These indicators were detected in clopidogrel and aspirin groups in 1 month and 3 months after antiplatelet therapy respectively, and detected separately in 2 hours, 1 month, and 3 months after coronary stent implantation in aspirin plus clopidogrel group. Platelet aggregation was measured by turbidimetric test with ADP and arachidonic acid (AA) as inducers. Correlation analysis of each indicator was also carried out. Results: The platelet aggregation, in 1 and 3 months after antiplatelet therapy in clopidogrel group, aspirin group, clopidogrel plus aspirin group, was significantly lower than that before treatment (Figure 1, P <0.05). Especially in clopidogrel plus aspirin group, in 2 hours after surgery, there was an obvious decrease and it decreased more in 3 months than 1 month. Platelet CD62P expression, in 3 months after antiplatelet therapy in the three groups, showed a significant decrease when compared with that before treatment (Figure 2, P<0.05), and CD62P expression was the lowest in clopidogrel plus aspirin group than monotherapy groups. PRI levels in clopidogrel, clopidogrel plus aspirin group were significantly decreased than that before treatment (Figure 3, P<0.05), but no difference was found in aspirin group. There was positive correlation between platelet aggregation and platelet CD62P expression between aspirin group (P< 0.05, r=0.64302) and clopidogrel plus aspirin group (Figure 4, P<0.05, r=0.43632). However, no correlation between platelet aggregation rate and PRI was observed in 3 groups after treatment. Conclusions: This study not only demonstrates that either monotherapy or combination therapy can reduce platelet aggregation rate, platelet CD62P expression and PRI levels, but also shows that platelet aggregation and CD62P expression have good consistency and it can be more meaningful to detect antiplatelet therapy together. In our study, we also detected 300 cases of diabetes and found that CD62P expression decreased significantly after antiplatelet therapy indicating that it could be used as the specific indicator to monitor platelet function. It is noteworthy that PRI is more sensitive as the monitoring index of clopidogrel. But our results do not support the good consistency between platelet aggregation rate and PRI levels. The small number of cases may limit the generalizability results. Additional research is needed to increase the sample size to require validation and continue to monitor the indicators of a year to two years after, as patients in our study are still being monitored. Figure 1 Figure 1. Figure 2 Figure 2. Figure 3 Figure 3. Disclosures No relevant conflicts of interest to declare.
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Nagy-Mikó, Bence, Orsolya Németh-Szatmári, Réka Faragó-Mészáros, et al. "Predictive Potential of RNA Polymerase B (II) Subunit 1 (RPB1) Cytoplasmic Aggregation for Neoadjuvant Chemotherapy Failure." International Journal of Molecular Sciences 24, no. 21 (2023): 15869. http://dx.doi.org/10.3390/ijms242115869.

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We aimed to investigate the contribution of co-translational protein aggregation to the chemotherapy resistance of tumor cells. Increased co-translational protein aggregation reflects altered translation regulation that may have the potential to buffer transcription under genotoxic stress. As an indicator for such an event, we followed the cytoplasmic aggregation of RPB1, the aggregation-prone largest subunit of RNA polymerase II, in biopsy samples taken from patients with invasive carcinoma of no special type. RPB1 frequently aggregates co-translationally in the absence of proper HSP90 chaperone function or in ribosome mutant cells as revealed formerly in yeast. We found that cytoplasmic foci of RPB1 occur in larger sizes in tumors that showed no regression after therapy. Based on these results, we propose that monitoring the cytoplasmic aggregation of RPB1 may be suitable for determining—from biopsy samples taken before treatment—the effectiveness of neoadjuvant chemotherapy.
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Sinquini de Souza, Renato, Igor Sousa de Morais, Jean Sérgio Rosset, Thadeu de Melo Rodrigues, Arcângelo Loss, and Marcos Gervasio Pereira. "Aggregation as soil quality indicator in areas under different uses and managements." Farming System 2, no. 2 (2024): 100082. http://dx.doi.org/10.1016/j.farsys.2024.100082.

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Rende, Richard, Sheilagh Hodgins, Roberta Palmour, Brigitte Faucher, and Jean-François Allaire. "Familial Overlap between Bipolar Disorder and Psychotic Symptoms in a Canadian Cohort." Canadian Journal of Psychiatry 50, no. 4 (2005): 189–94. http://dx.doi.org/10.1177/070674370505000401.

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Background: Although they were once considered separate nosologic entities, there is current interest in the etiologic overlap between bipolar disorder (BD) and schizophrenia. A critical issue concerns the familial basis of the overlap, specifically, the possibility of a distinct familial subtype of BD with psychotic features. Methods: We recruited individuals with BD from the community and compared them with a matched group diagnosed with no mental disorder to confirm familial aggregation for BD, schizophrenia, and psychotic symptoms. We then compared BD probands both with and without first-degree relatives with psychotic symptoms on several clinical indicators to determine the specificity of the familial aggregation. Results: As expected, there was evidence for familial aggregation of schizophrenia and psychotic symptoms in families having probands with BD. Familial loading for schizophrenia and psychotic symptoms was especially notable in male relatives of female probands with BD. We found no differences in the clinical profile of probands with BD stratified for familial loading for psychotic symptoms. Conclusions: Findings from this sample support etiologic theories arguing for a shared but nonspecific genetic etiology for BD and schizophrenia, with psychotic symptoms being a potential key indicator for genetic studies.
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Morgan, T. "Peace as a composite indicator: the goals and future of the Global Peace Index." Pathways to Peace and Security, no. 2 (2021): 43–56. http://dx.doi.org/10.20542/2307-1494-2021-2-43-56.

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This article provides an overview of the purpose, development and future of the Global Peace Index (GPI), a composite indicator of peacefulness at the national level. It explains why the concept of negative peace is well suited to being captured by a composite index, for both theoretical and statistical reasons. It examines how the GPI fits within the field of peace and conflict studies and how its methodological soundness has been assessed. This is done by looking at the history and structure of the GPI and showing how it relates to other definitions and indicators of peacefulness. The article then analyzes how the index is constructed with respect to its weighting, aggregation, and robustness. Some of the criticisms of the index are also explored, as well as the main proposed directions for the GPI evolution over the coming decade. Three main advantages of the index are identified as the ones that best reflect its novel input in peace and conflict studies. First, a composite indicator of peace helps to provide a more compelling narrative around the dynamics of peace between countries, to generate more interest in the peace and conflict field and to promote the concept of peace as a crucial driver of development. Second, the aggregation of multiple indicators of violence allows for the construction of a continuous measure of peacefulness with a less skewed distribution that can serve as the baseline for seeing which factors in other areas are correlated with peacefulness. Third, this composite measure of peacefulness highlights areas where data on aspects of negative peace are missing, incomplete, or not comparable across countries and drives the creation of new and novel indicators to fill these data gaps.
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Ciarrochi, Josseny, Anna Gabriela Pérez, and Francklin Rivas-Echeverría. "Social Sustainability Measurement for Venezuela During 2007–2009." DESIGN, CONSTRUCTION, MAINTENANCE 2 (March 19, 2022): 42–47. http://dx.doi.org/10.37394/232022.2022.2.7.

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In this research an indicator of social sustainability for Venezuela was designed using a statistical methodology, using information from the sustainable development social dimension for each of the Venezuelan states during 2007-2009. For building the social sustainability indicator (SSI) it was used the first two principal components obtained from the analysis for each year and as aggregation method the sum of components was used. The resulting values of social sustainability indicator is decomposed into 5 levels in similar way to the sustainability barometer and federal entities with the corresponding SSI level were assigned.
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Moskovkin, V. M., and X. Sun. "Methodology of regional analysis of the Russian economic reseaerch market." Economics of Science 5, no. 1 (2019): 67–78. http://dx.doi.org/10.22394/2410-132x-2019-5-1-67-78.

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After the dissolution of the Soviet Union and the transition to a market economy model in Russia, there has been observed a rapid growth for market economic studies challenge in ranking of its three segments, such as the economists market, scientific economic journals market, research training of economists market. The purpose of the study is to aggregate quantitative indicators of economic market segments for economic studies in the Russian regions. The initial data calculations are done on quantitative indicators from the TOP-500 gold ranking of economist E. V. Balatsky for 2016, the list of “vakovsky” economic journals from 07.06.2017 and the ranking of 2016 economic dissertation councils across the Russian regions. The aggregation of the above indicators is done according to the arithmetic average formula for their normalized values. A cross-correlation matrix has been constructed for the above indicators and an integral indicator with all linear paired regression equations in which the values of the coefficient of determination R2 varied in the range from 0,93 to 0.99. A practically analytical multiple regression equation (R2 = 1.0) has been obtained between the values of the above three indicators of the market for economic studies and an integral indicator on the other hand. In the article, it is also shown that the effect of the number of economic councils on the integral indicator is three times greater than the effect of the number of economists and the number of economic councils each separately. The best convergence to the Pareto distribution has been shown by the distribution of the values of the integral indicator of the state of the regional economic research market. On the basis of an integral indicator, the clusterization of regional markets for economic studies in Russia has been done using the method of natural borders.
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Jernberg, Susanna, Henrik Nygård, Ainars Aunins, et al. "A retrospective assessment of marine biodiversity: a critical analysis of integration and aggregation rules." Socio-Environmental Systems Modelling 1 (July 5, 2019): 16128. http://dx.doi.org/10.18174/sesmo.2019a16128.

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Oceans around the world are threatened by human pressures. Ecological indicators are useful tools in understanding complex systems and their changes caused by human pressures, and the information they offer is also needed for ecosystem-based management. Integrated assessments combine information produced by several indicators at different spatial scales and thus offer a more holistic view of the status of the ecosystem. In this study, we evaluate the integration of biodiversity indicators at different spatial scales in two study areas in the Baltic Sea: Gulf of Finland and Bothnian Sea. By producing time series of the indicators and integrated assessments, we study the historical changes in the overall marine biodiversity status, and the impact of data availability, indicator selection, and choice of spatial assessment units on the status assessment. The integrated assessments are produced using the Biodiversity Assessment Tool (BEAT 3.0) and following the procedure of the HELCOM integrated assessment of biodiversity. The analysis shows that the results of the integrated assessment depend strongly on which indicators are available for the assessment, and on the chosen spatial assessment units. While the integrated assessments are a strong communication tool, their interpretation needs to be accompanied by information of indicators to avoid misleading conclusions about the marine ecosystem status.
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Ruiz Dubreuil, Gladys, and Eduardo deI Solar. "Effect of Selection on Oviposition Site Preference in Drosophila melanogaster." Australian Journal of Biological Sciences 39, no. 2 (1986): 155. http://dx.doi.org/10.1071/bi9860155.

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A divergent selection program for gregarious oviposition behaviour was carried out for 112 generations on cage population of D. melanogaster. Gregarious oviposition was measured using five different indices: number of occupied tubes, percentage of eggs in the preferred tube, mean variance ratio, Charlier coefficient of disturbance and k parameter of the negative binomial distribution. All these statistics showed similar tendencies, but k seemed to be the most sensitive indicator of intensity of aggregation. The high aggregation line showed a rapid initial response but little change later. In contrast, the low aggregation line showed a steady but slow response to selection. The realized heritability for the low line in generations 67-73 was 0�11 � 0�04.
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Heksaputra, Dadang, M. J. U. Haris Bahrudin, Anni Karimatul Fauziyah, and Dhina Puspasari Wijaya. "ANALISIS ANTENATAL CARE (ANC) PADA SURVEILANS KESEHATAN IBU DAN ANAK DENGAN TAHAPAN AGREGASI PIPELINE NOSQL." Indonesian Journal of Business Intelligence (IJUBI) 4, no. 1 (2021): 16. http://dx.doi.org/10.21927/ijubi.v4i1.1754.

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Case 30.8 percent of Indonesian children under five are stunted. Bantul is a district in the Province of D.I. Yogyakarta, Indonesia, is a locus of stunting. Bantul has ten villages. The ten villages include Patalan Jetis Village, Canden Jetis Village, Terong Dlingo Village, Argodadi Sedayu Village, Triharjo Pandak Village, Triwidadi Pajangan Village, Jatimulyo Dlingo Village, Datangharjo Sewon Village, Sendangsari Pajangan Village, and Trimulyo Jetis Village. The research focuses on the village of Argodadi Sedayu. In the village of Argodadi Sedayu, Antenatal Care (ANC) research would be conducted. Antenatal Care (ANC) is a pregnancy check by a doctor or midwife. Therefore, Antenatal Care Analysis (ANC) is needed to determine whether diet, parenting, and sanitation are well programmed. Antenatal care (ANC) research framework was a model of method improvement. The method improvement model consists of indicators, proposed methods, objectives, and measurements. The indicators consist of monitoring instruments and health visits. The proposed method uses an aggregation pipeline stage. The data was processed in the aggregation pipeline stage. The data were obtained from the time series data surveillance dataset. The research objective was to analyze the research results accurately according to the proposed method. Measurement of indicator analysis with the application of the dashboard as a performance indicator on the research results. Practically, it is hoped that the research results could consider the health office and related institutions in reducing or even elevating Argodadi Sedayu Village in Yogyakarta as a non-locus of stunting using massive monitoring of diet, parenting, and sanitation well programmed.
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Iglesias, T. L., R. C. Stetkevich, and G. L. Patricelli. "Dead heterospecifics as cues of risk in the environment: Does size affect response?" Behaviour 151, no. 1 (2014): 1–22. http://dx.doi.org/10.1163/1568539x-00003120.

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Organisms can minimize their exposure to risk of death or injury by assessing their environment and modifying their behavior accordingly. There is evidence that the current or recent presence of a predator introduces cues to the environment that organisms may use in risk assessment. However, we know little about whether terrestrial organisms use the remains of victims of predation as one such cue of elevated predation risk. A previous study showed that western scrub-jays (Aphelocoma californica) respond both to dead conspecifics and to encounters with a predator with alarm calling and aggregation (cacophonous aggregations), suggesting that they use dead conspecifics as indirect evidence of predation risk. Here we examine whether western scrub-jays also use dead heterospecifics as an indicator of risk. We find that jays respond with cacophonous aggregations to dead sympatric and allopatric jay-size heterospecifics but react weakly if at all to smaller heterospecifics. This suggests that size may be an important factor in determining whether a dead heterospecific is a relevant cue of risk. To our knowledge this is the first controlled experiment showing an animal using the visual cue provided by a dead heterospecific as an indicator of risk and communicating this risk to other conspecifics.
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Nishi, Eijiroh, Hirokazu Abe, Katsuhiko Tanaka, Naoto Jimi, and Elena K. Kupriyanova. "A new species of the Spirobranchus kraussii complex, S. akitsushima (Annelida, Polychaeta, Serpulidae), from the rocky intertidal zone of Japan." ZooKeys 1100 (May 12, 2022): 1–28. https://doi.org/10.3897/zookeys.1100.79569.

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A new species of Spirobranchus (Annelida: Serpulidae) is described based on specimens collected at the coastal Shonan area of Sagami Bay and the adjacent areas of Honshu, Japan. Spirobranchus akitsushima sp. nov. forms large aggregations in the intertidal rocky zone of warm-temperate Japanese shores. This species was referred to as Pomatoleios kraussii (Baird, 1864) until the monotypic genus Pomatoleios was synonymized with Spirobranchus. This new species is formally described based on morphologically distinct Japanese specimens with supporting DNA sequence data. The calcareous opercular endplate of Spirobranchus akitsushima sp. nov. lacks a distinct talon, but some specimens have a slight rounded swelling on the endplate underside, while in other species of the S. kraussii complex a talon is present, usually extended, and with bulges. We examined sub-fossil tube aggregations of the new species and suggest that such aggregation stranded ashore is a good indicator of vertical land movements (uplift and subsidence) resulting from past events, such as earthquakes, in Honshu, Japan.
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Monadiyan, Nimas Ezra, and Faisal Haris. "Development of The Welfare Index at Sub-district Level in West Java 2020: A Small Area Estimation Approach." Proceedings of The International Conference on Data Science and Official Statistics 2021, no. 1 (2022): 842–55. http://dx.doi.org/10.34123/icdsos.v2021i1.144.

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Welfare as an alternative measure for poverty, is an important indicator to measure. But there is no composite indicator that specifically measures the prosperity of a population yet. Considering the increase of data needed and the lack of available data at the smaller level, this study develops the Welfare Index at sub-district level for West Java in 2020 using a small area estimation approach to explain the condition of welfare of the population. The indicators in sub-district level formed in this study were created from two kinds of data. The first type of indicators were formed from SUSENAS using Small Area Estimation and the other type of indicators were formed from PODES aggregation. All the indicators were then processed with factor analysis to form the Welfare Index. The Welfare Index formed shows the range of 22.86 to 83.76 and generally higher in the northern part of West Java. This index has a correlation of 0.798 with the Human Development Index because of the components that defined both indexes. The existence of this correlation shows that the Welfare Index formed is able to explain the conditions/phenomena being measured.
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Yang, Minshu, Zhongchang Sun, Xiaoying Ouyang, Hongwei Li, Youmei Han, and Dinoo Gunasekera. "Spatial and Temporal Dynamics of Transportation Accessibility in China: Insights from Sustainable Development Goal Indicators from 2015 to 2022." Remote Sensing 16, no. 23 (2024): 4452. http://dx.doi.org/10.3390/rs16234452.

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SDG 9.1.1 and SDG 11.2.1 are significant evaluation indicators of the United Nations Sustainable Development Goals related to transportation accessibility and are used to measure the proportion of the population facilitating the use of road services in rural areas and the proportion of the population facilitating the use of public transportation services in urban areas, respectively. However, there are currently challenges related to incomplete data and the inadequate interpretation of the indicators. In this study, we therefore evaluate the spatiotemporal patterns of the indicators and the number of disadvantaged groups in 337 Chinese cities from 2015 to 2022 based on multi-source data, and explore the spatial aggregation of the indicators and the driving factors. The results demonstrate that the indicator values of SDG 9.1.1 and SDG 11.2.1 reached 99.36% and 90.00%, respectively, in 2022, and the number of vulnerable groups decreased to approximately 1.89 million and 2.82 million. The indicator values of SDG 9.1.1 are high in the eastern part of China and low in the western part of the country, whereas the indicator values of SDG 11.2.1 exhibit spatial agglomeration in regions such as the Pearl River Delta. The average rural elevation and the density of urban public transportation stops are the most influential factors for these two indicators, respectively. The insights and data from this study provide support for improving transportation infrastructure and inequality in China, contributing to the achievement of the 2030 Sustainable Development Goals.
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48

Alimpiiev, Yevhenii. "Integral assessment of the macroeconomic equilibrium on the example of the Polish economy." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 19, no. 2 (2018): 159–70. http://dx.doi.org/10.5604/01.3001.0012.2045.

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The purpose of this study is to test the validity of the use of an integral estimation of macroeconomic equilibrium for the analysis of the effectiveness of national economy’s management. Using the methods of analysis and synthesis as well as comparison methods, we focused on the study of existing macroeconomic equilibrium indicators in order to cho¬ose the most utilitarian indicator in accordance with such criteria as the level of aggregation of macroeconomic indicators within a single quantitative index; minimization of prelimina¬ry calculations without loss of the quality of the information content of the index; existence of appropriate theoretical background. The calculations included the macroeconomic data of the Polish economy in 2000-2016.
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49

Nikitin, Nikolay Alexandrovich. "Spatial organization of Cyclachaena xanthiifolia (Nutt.) Fresen. populations on the railway line." Samara Journal of Science 7, no. 4 (2018): 93–97. http://dx.doi.org/10.17816/snv201874116.

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The spatial structure of populations under the conditions of anthropogenic impact is a very important indicator that reflects the behavioral patterns of the species, such as changes in the structure and aggregation of individuals. Quarantine weeds are the object of ecologists close attention, as these weeds carry the greatest danger to the population, since they most often cause pollinosis and a significant deterioration in the quality of life during seasonal outbreaks of the disease. That is why they should be investigated by methods of analyzing the spatial structure of their populations. Railways are considered to be corridors along which quarantine weeds and other alien and invasive species are able to spread to new territories. Spatial behavior of species, formation of aggregations and large clusters, or a uniform distribution of individuals can reveal a fundamental relationship between the conditions of anthropogenic impact along the right-of-way and the spatial structure of populations. Along the Kinel-Bezenchuk Kuybyshev railroad in the spatial structure of the population of Cyclachaena xanthiifolia (Nutt.) Fresen. there is a group and uniform distribution of individuals. Aggregation of individuals in clusters (group distribution) are found in the places with the highest anthropogenic load.
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50

Raedo, Rubén. "Urban Sustainability Deficits: The Urban Non-Sustainability Index (UNSI) as a Tool for Urban Policy." Sustainability 13, no. 22 (2021): 12395. http://dx.doi.org/10.3390/su132212395.

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Urban sustainability has been revealed as one of the key elements in achieving global sustainability. There is a wide range of indicators in this field; however, sustainability indicators have not been exempt from criticism, in both their formal aspects and practical usefulness. If measuring sustainability is “measuring the immeasurable”, then the objective of this article is to propose a composite indicator that evaluates only the deficits of sustainability or, which is the same thing, the unsustainability of cities. This focus has the advantage of showing up the particular deficiencies and thus the priorities that each city must attend to. For this purpose, only unsustainability, defined as the distance to a sustainability target, was considered. Aggregation was carried out through generalized means, which lead to a proper balance between compensatory and non-compensatory aggregation. The results emerging from the application of our methodology to a sample of fifty different cities suggest that all cities should attend to some aspect concerning sustainability, and that no city is sustainable, but only less unsustainable, showing both significant differences between cities in terms of the degree of unsustainability and a common underlying structure of unsustainability in which the environmental dimension contributes the most.
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