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Journal articles on the topic 'Model-derived indicators'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Duan, Jun, and Ke Xu. "Tourism City Management Optimization Model Based on Sustainable Development Concept." Highlights in Science, Engineering and Technology 135 (March 25, 2025): 162–71. https://doi.org/10.54097/e96cb836.

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In response to the environmental degradation and increasing social pressures caused by over-tourism in some tourist cities in recent years, this paper developed a sustainable tourism optimization model. The model comprehensively considers three major factors: economic, environmental, and social aspects, covering six secondary indicators such as tourism revenue and water pollution index. First, this paper employed the DEMATEL-ANP hybrid method to analyze and calculate the global weights of these six secondary indicators. Next, based on indicator interrelationships, models for tourist numbers, e

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Zhang, T. Q., Z. M. Zheng, R. Lal, et al. "Environmental Indicator Principium with Case References to Agricultural Soil, Water, and Air Quality and Model-Derived Indicators." Journal of Environmental Quality 47, no. 2 (2018): 191–202. http://dx.doi.org/10.2134/jeq2017.10.0398.

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Piroddi, Chiara, Heliana Teixeira, Christopher P. Lynam, et al. "Using ecological models to assess ecosystem status in support of the European Marine Strategy Framework Directive." Ecological Indicators 58 (May 19, 2015): 175–91. https://doi.org/10.1016/j.ecolind.2015.05.037.

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<strong>Abstract</strong> The European Union’s Marine Strategy Framework Directive (MSFD) seeks to achieve, for all European seas, "Good Environmental Status" (GEnS), by 2020. Ecological models are currently one of the strongest approaches used to predicting and understanding the consequences of anthropogenic and climate-driven changes in the natural environment. We assess the most commonly used capabilities of the modelling community to provide information about indicators outlined in the MSFD, particularly on biodiversity, food webs, non-indigenous species and seafloor integr

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Romo-Lozano, José L., Rosa M. Rodríguez, Roberto Rendón-Medel, and Álvaro Labella. "Application of a multigranular approach based on the 2-tuple fuzzy linguistic model for the evaluation of forestry policy indicators." Revista Chapingo Serie Ciencias Forestales y del Ambiente 27, no. 2 (2020): 257–75. http://dx.doi.org/10.5154/r.rchscfa.2020.06.043.

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Introduction: The need for quality indicators is well recognized by users and proponents of public policy evaluation. Indicators recurrently include qualitative attributes for which there are few studies assessing the level of compliance. Objective: To apply a multigranular approach, based on the 2-tuple fuzzy linguistic model, to evaluate 13 indicators of the National Forestry Program, established in the system of social policy indicators derived from the National Development Plan 2012-2018 of Mexico. Materials and methods: The method uses the 2-tuple fuzzy linguistic representation model and

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Bentley, Jacob W., David Hines, Stuart Borrett, et al. "Diet uncertainty analysis strengthens model-derived indicators of food web structure and function." Ecological Indicators 98 (March 2019): 239–50. http://dx.doi.org/10.1016/j.ecolind.2018.11.008.

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Xu, Risheng. "Maternal And Child Health Study Based on Decision Tree and Partial Least Squares Regression." Highlights in Science, Engineering and Technology 103 (June 26, 2024): 71–79. http://dx.doi.org/10.54097/32bt5q84.

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The physical and mental health of mothers plays a crucial role in the development of infants. In this paper, the influence of mothers' physical and mental indicators on infants' behavioral characteristics, the comprehensive sleep quality assessment system, and the treatment plan for mental illnesses are studied in depth. First, the decision tree model is used to explore the relationship between mothers' physical and psychological indicators on infants' behavioral characteristics. Second, a linear programming model was developed between the degree of illness and the scores of the three psycholo

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Mehling, Margaret H., and Marc J. Tassé. "Empirically Derived Model of Social Outcomes and Predictors for Adults With ASD." Intellectual and Developmental Disabilities 52, no. 4 (2014): 282–95. http://dx.doi.org/10.1352/1934-9556-52.4.282.

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Abstract This study used data from the National Core Indicators (NCI) Survey to derive an empirically validated measurement model for social outcomes and associated constructs for both individuals with Autism Spectrum Disorder (ASD) and individuals with other disabilities. Items consistent with the survey structure of the NCI were selected as initial indicators of the latent constructs Social Relationships, Community Inclusion, and Opportunity for Choice in factor analyses. Results yielded a novel factor structure that is different from the original NCI survey structure. Three factors emerged

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Lu, Tao, Luxian Wang, and Jiaxi Li. "Research on the Momentum of Tennis Players Based on the XGBoost Model and GA-RF Model." Highlights in Science, Engineering and Technology 136 (March 31, 2025): 307–15. https://doi.org/10.54097/dgjmdk98.

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In this paper, to better represent an athlete's performance using momentum, this paper proposed an indicator system to assess a player's performance at different stages of a match. The article tested this system using both LightGBM and XGBoost classification models. By comparing the accuracy, recall, and precision of the training sets for both models, this paper found that LightGBM achieved 91.8% for all these metrics, while XGBoost achieved an impressive 98.4%. Therefore, this paper used the feature importance derived from the XGBoost model to determine the weight of these indicators. After o

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Xu, Guoli, Cora Un In Wong, and Lei Lin Ngan. "A Comprehensive Evaluation Study on the Ecological Conservation Model of Saihanba, China and Its Application in the Asia-Pacific Regions." E3S Web of Conferences 406 (2023): 04023. http://dx.doi.org/10.1051/e3sconf/202340604023.

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The key of this paper is to extract several representative characteristic indicators and establish the ecosystem characteristic index system of Saihanba by collecting and preprocessing the data in Saihanba area for a comprehensive evaluation. A gray correlation model was used to calculate the correlation degree and rank the cities based on the characteristic indicators, with Beijing as the central point and extended to Xinjiang, Japan and other regions. Through the integration of the data from the official website and books, the data of the representative ecological aspects of the Saihanba was

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Shannon, LJ, W. Osman, and A. Jarre. "Communicating changes in state of the southern Benguela ecosystem using trophic, model-derived indicators." Marine Ecology Progress Series 512 (October 9, 2014): 217–37. http://dx.doi.org/10.3354/meps10879.

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Simonin, Jean-Michel, Jean-Michel Piau, Vinciane Le-Boursicault, and Murilo Freitas. "Orthogonal Set of Indicators for the Assessment of Flexible Pavement Stiffness from Deflection Monitoring: Theoretical Formalism and Numerical Study." Remote Sensing 14, no. 3 (2022): 500. http://dx.doi.org/10.3390/rs14030500.

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The monitoring of pavements along roads is generally based on the use of indicators directly derived from measurements. More specifically, the bearing capacity of pavements is often simply deduced from either the maximum deflection value measured or the difference between two measured values along the deflection basin. This paper proposes a methodology to define a set of orthogonal indicators adapted to the structure being evaluated. This methodology is presented for deflection measurements recorded on a flexible pavement simulated by the Burmister model and consists of searching the weighting

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Sayyahi, Alireza, Maghsoud Farasatkhah, and Kamran Mohamadkhani. "National Model for Evaluation and Monitoring of Research Institutions in the Country: A Model Derived from Grounded Theory Research." Journal of Study and Innovation in Education and Development 4, no. 3 (2024): 194–218. http://dx.doi.org/10.61838/jsied.4.3.11.

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The main objective of this study was to present a conceptual model for evaluating and monitoring research institutions in the country. This research was qualitative in nature. The strategy of Grounded Theory (systematic version of Strauss and Corbin) was employed, consisting of open, axial, and selective coding to achieve the research-derived model. Participants included experts in policy-making or those with executive backgrounds in higher education, as well as specialists in the monitoring and evaluation of higher education. In this study, semi-structured and in-depth interviews were conduct

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Gruber, F. E., and M. Mergili. "Regional-scale analysis of high-mountain multi-hazard and risk indicators in the Pamir (Tajikistan) with GRASS GIS." Natural Hazards and Earth System Sciences 13, no. 11 (2013): 2779–96. http://dx.doi.org/10.5194/nhess-13-2779-2013.

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Abstract. We present a model framework for the regional-scale analysis of high-mountain multi-hazard and -risk indicators, implemented with the open-source software package GRASS GIS. This framework is applied to a 98 300 km2 study area centred in the Pamir (Tajikistan). It includes (i) rock slides, (ii) ice avalanches, (iii) periglacial debris flows and (iv) lake outburst floods. First, a hazard indicator is assigned to each relevant object (steep rock face, glacier or periglacial slope, lake). This indicator depends on the susceptibility and on the possible event magnitude. Second, the possi

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Suyosa Baltazar, Dalton Erick, Damasa Magcale-Macandog, Maria Francesca Tan, Macrina Zafaralla, and Nina Cadiz. "A River Health Status Model Based on Water Quality, Macroinvertebrates and Land Use for Niyugan River, Cabuyao City, Laguna, Philippines." Journal of Environmental Science and Management 19, no. 2 (2019): 38–53. http://dx.doi.org/10.47125/jesam/2016_2/05.

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A health status model was developed for Niyugan River. It consists of two component parameters: response and pressure. The response parameters, water quality and Ephemeroptera-Plecoptera-Trichoptera (EPT) proportion measure the current state of the river. Pressure parameters, land use, infrastructure, and riparian vegetation proportion represent the factors that can worsen the current river condition. Water quality indicator values were determined using on-site measurements and analyzed water. Benthic macroinvertebrates were collected from all the sampling sites. Land use, infrastructure, and

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Lin, Chao-Yuan, Yuan-Chung Lai, Shao-Wei Wu, Fan-Chung Mo, and Cheng-Yu Lin. "Assessment of potential sediment disasters and resilience management of mountain roads using environmental indicators." Natural Hazards 111, no. 2 (2022): 1951–75. http://dx.doi.org/10.1007/s11069-021-05126-5.

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AbstractIn recent years, extreme rainfall events occur frequently, causing serious watershed sediment disasters, destroying mountain roads, and endangering the safety of residents' lives and property. This study aims to deal with the spatial change of potential sediment movement on the road slope pre-disaster and to screen disaster hot spots for early warning and control system. The conceptual model is used to simulate the distribution of primary and/or derived disasters on a watershed scale to assess the impact of sediment disasters caused by heavy rain event. Correlation analysis shows that

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H. Hakimov. "SCIENTIFIC THEORETICAL FOUNDATIONS OF THE COUNTRY RISK ASSESSMENT MODEL." European Journal of Artificial Intelligence and Digital Economy 1, no. 10 (2024): 4–8. https://doi.org/10.61796/jaide.v1i10.1029.

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Objective: This study aims to examine the theoretical foundations and methodologies of the Country Risk Assessment Model (CRAM), focusing on its ability to evaluate country risk through a comprehensive analysis of economic, political, and social indicators. Method: CRAM employs a weighted scoring system, integrating indicators from economic, political, and social domains to construct an aggregate risk score. Data sources include the IMF, World Bank, PRS Group, Transparency International, and the UNDP. Weights for each indicator are derived through regression analysis, expert surveys, and histo

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Liu, Huanyu. "Momentum Analysis of Tennis Matches Based on Logistic Regression." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 564–70. http://dx.doi.org/10.54097/57kw9v09.

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The paper first selected ten evaluation indicators such as first-serve scoring rate, double fault rate, and ace rate through a literature review. Then, using the entropy weight method, weights were assigned to each evaluation indicator. The top seven indicators with larger weights were selected as independent variables, with the pointing situation as the dependent variable, to establish a binary logistic regression model. The model achieved an accuracy rate of 94.3%. The paper multiplied the regression-derived weight matrix with the seven indicators, normalizing the resulting values to represe

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Si, Yi Fang, Jun Qi Yu, Bo Dang, and Jian Heng Huang. "The Use of Wireless Systems and Assessment Models for the Sustainability of Intelligent Buildings." Advanced Materials Research 953-954 (June 2014): 1663–67. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.1663.

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Sustainability assessment of intelligent buildings involves multiple indicators and parameters, multi-criteria decision-making and multiple variables model. In order to solve the problem: firstly, identify the key performance indicators of the sustainability related to intelligent buildings (environmental, social, economic and technological factors);optimize the selected indicators with both experts knowledge and measurable data; secondly, develop a new model for measuring the level of sustainability for intelligent buildings. The data acquisition of objective indicators for intelligent buildi

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Sun, Shaonan, Yiming Zuo, Chunlu Liu, Xiaoxiao Yao, Ailing Wang, and Zhihui Wang. "A Model Based on Variable Weight Theory and Interval Grey Clustering to Evaluate the Competency of BIM Construction Engineers." Buildings 15, no. 14 (2025): 2574. https://doi.org/10.3390/buildings15142574.

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Building information modeling (BIM) has emerged as a fundamental component of Industry 4.0 recently. BIM construction engineers (BCEs) play a pivotal role in implementing BIM, and their personal competency is crucial to the successful application and promotion of BIM technology. Existing research on evaluating BIM capabilities has mainly focused on the enterprise or project level, neglecting individual-level analysis. Therefore, this study aims to establish an individual-level competency evaluation model for BCEs. Firstly, the competency of BCEs was divided into five levels by referring to rel

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Moon, Chang-Hak. "Neposredni evidenciali v korejščini: S perspektive modela večplastne shrambe spomina." Acta Linguistica Asiatica 14, no. 2 (2024): 147–71. http://dx.doi.org/10.4312/ala.14.2.147-171.

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This study clarifies the meaning of direct evidential markers in Korean and examines their semantic characteristics using a multi-store memory model. Korean direct evidential markers are categorized into those indicating either “present perception-based knowledge” or “past acquisition-based knowledge.” The former are subdivided into “unaccepted present perception-based knowledge” (-네 -ney) and “accepted present perception-based knowledge” (-군 -kwun), and the latter into “knowledge derived from past perception” (-더라 -tela) and “knowledge integrated into personal or general understanding” (-지 -c

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Li, Xuecao, Yuyu Zhou, Lin Meng, Ghassem R. Asrar, Chaoqun Lu, and Qiusheng Wu. "A dataset of 30 m annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States." Earth System Science Data 11, no. 2 (2019): 881–94. http://dx.doi.org/10.5194/essd-11-881-2019.

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Abstract. Medium-resolution satellite observations show great potential for characterizing seasonal and annual dynamics of vegetation phenology in urban domains from local to regional and global scales. However, most previous studies were conducted using coarse-resolution data, which are inadequate for characterizing the spatiotemporal dynamics of vegetation phenology in urban domains. In this study, we produced an annual vegetation phenology dataset in urban ecosystems for the conterminous United States (US), using all available Landsat images on the Google Earth Engine (GEE) platform. First,

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Paidipati, Kiran Kumar, and Tirupathi Rao Padi. "Bivariate Stochastic Modelling of Glucose and Insulin Regulatory System among Type-2 Diabetes Mellitus Patients." Bulletin of Mathematical Sciences and Applications 11 (February 2015): 30–43. http://dx.doi.org/10.18052/www.scipress.com/bmsa.11.30.

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In this paper, a bivariate stochastic model for glucose and insulin regulatory system is developed. Difference Differential equations are derived from the processes of arrival and consumption of glucose molecules and insulin granules in blood plasma. Probability generating functions and linear differential equations are obtained, through which statistical measures on glucose and insulin levels are derived. Numerical illustrations are provided with suitable sensitivity analysis. Model behaviour is analyzed while using the derived measures. Indicators on health care and management of Type-2 Diab

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Cantarella, Giulio Erberto, and Antonino Vitetta. "Bayesian Disaggregate and Aggregate Calibration of Path Logit Choice Models." Journal of Advanced Transportation 2023 (July 15, 2023): 1–13. http://dx.doi.org/10.1155/2023/5596292.

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In transport demand analysis, the calibration of a model means estimation of its (endogenous) parameters from observed data with an inference statistical estimator. Indeed, these considerations apply to any choice behaviour model, such as those derived from Random Utility Theory or any other choice modelling theory. Calibration of choice models can be carried out from disaggregate vs. aggregate data, while inference statistical estimators can be specified through Bayesian vs. Classic (or Frequentist) approaches. In this paper, the resulting Bayesian or Classic disaggregate or aggregate calibra

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Zhao, Lin Dong, and Sheng Jing Tang. "Design and Optimization of Missile Three-Loop Autopilot Based on Performance Indicators." Applied Mechanics and Materials 203 (October 2012): 36–40. http://dx.doi.org/10.4028/www.scientific.net/amm.203.36.

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A classic design method in frequency domain was used in preliminary design of three-loop autopilot. The preliminary design results derived out the bounds and initial values of optimization variables. Based on the system performance indicators, an optimization model was proposed including the use of weight factors and typical values of performance indicators. The optimization design was realized and verified with the use of genetic algorithm (GA) built in Matlab Optimization Toolbox. The design instance shows that the optimization model and strategy have a good effect and could meet the optimiz

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Alavi, Seyyed. "Macro indicators in the engineering of the Islamic financial system." Kom : casopis za religijske nauke 13, no. 3 (2024): 25–54. https://doi.org/10.5937/kom2403025a.

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Islamic and conventional financial systems have different ethical and philosophical foundations. While the traditional system relies on materialism, the Islamic system is based on theism. Therefore, it is crucial to localize and engineer a comprehensive model of the financial system based on macro indicators of the Islamic Financial system. This article intends to identify the macro indicators of the engineering of the Islamic Financial System from the content of authentic Islamic sources using Content Analysis methodology. The findings of this research indicate that certain indicators such as

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Ding, Peng. "Two seemingly paradoxical results in linear models: the variance inflation factor and the analysis of covariance." Journal of Causal Inference 9, no. 1 (2021): 1–8. http://dx.doi.org/10.1515/jci-2019-0023.

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Abstract A result from a standard linear model course is that the variance of the ordinary least squares (OLS) coefficient of a variable will never decrease when including additional covariates into the regression. The variance inflation factor (VIF) measures the increase of the variance. Another result from a standard linear model or experimental design course is that including additional covariates in a linear model of the outcome on the treatment indicator will never increase the variance of the OLS coefficient of the treatment at least asymptotically. This technique is called the analysis

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Marconi, M., G. Bono, and F. Caputo. "Nonlinear Convective Pulsation Models of Second Overtone SMC Cepheids." International Astronomical Union Colloquium 185 (2002): 420–23. http://dx.doi.org/10.1017/s0252921100016699.

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AbstractNonlinear convective pulsation models representative of SMC Cepheids pulsating in the second overtone mode are presented. Model predictions are compared with observations and implications are derived for second overtone selection criteria. The role of overtone Cepheids as distance indicators is finally investigated and the derived distance scale is at odds with the so called short distance scale.

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Aswad A, Muhammad Hajarul, Rusdiansyah Rusdiansyah, Didiharyono -, Yusril Ihsa Saputra, and Imam Fadli. "MATHEMATICS MODEL IN VITALITY ANALYSIS OF THE LIMOLA LANGUAGE." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 1 (2024): 0223–32. http://dx.doi.org/10.30598/barekengvol18iss1pp0223-0232.

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One of the regional languages in Tana Luwu, especially in North Luwu Regency, is the Limola language. Limola language is a regional language used in communication by the people of Sassa Village. This research utilizes the Pinasco and Romanelli (PR) model to analyze the vitality of the Limola language. The language's sustainability is assessed through a questionnaire with vitality indicators based on UNESCO. Meanwhile, birth and death rates are derived from statistical data from North Luwu. This research found that the model used can explain the possibility of using the Limola language by takin

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Mohammad Salameh, Hussein. "An evaluation of the financial soundness of insurance firms in the Amman Stock Exchange." Insurance Markets and Companies 13, no. 1 (2022): 11–20. http://dx.doi.org/10.21511/ins.13(1).2022.02.

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Financial soundness of insurance firms within a country tends to heavily affect its financial environment. This study will further assess the relationship between both factors with the support of a special model to test the financial soundness of insurance companies. The model could be utilized as an indicator of the stabilization of a country’s financial environment; this is done by testing the insurance companies’ falls. The methodology used was discriminant regression on the Amman Stock Exchange (ASE) to test 12 indicators that were derived from six CARMEL model parameters. The six tested p

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Honda, Katsuhiro, Akira Notsu, and Hidetomo Ichihashi. "Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 1 (2011): 83–89. http://dx.doi.org/10.20965/jaciii.2011.p0083.

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In the present paper, a variable selection model in k-Means is proposed, in which a variable weighting mechanism is introduced to PCA-guided k-Means. Variable weights are estimated in a manner similar to FCM clustering, while the membership indicator is derived using a PCA-guided method, in which the principal component scores are calculated by considering the variable weights. The variable weights emphasize the variables that have meaningful cluster information in the calculation of the membership indicators, and the absolute responsibility of each variable is revealed by soft transition to p

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Yang, Wenqiang, Zhifang Yang, Zhaoyun Zong, Qianhao Sun, and Xinfei Yan. "AVA inversion for novel fluid indicator considering consolidation parameter." Journal of Geophysics and Engineering 19, no. 6 (2022): 1280–99. http://dx.doi.org/10.1093/jge/gxac083.

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Abstract Geofluid identification from seismic data are crucial for understanding reservoir characteristics. However, fluid indicators based on elastic parameter combinations show strong ambiguity in terms of geofluid identification. Although the effective pore-fluid bulk modulus proves to be the superior fluid indicator in geofluid discrimination, it is limited to empirical models such as the critical porosity model. The consolidation parameter model can evaluate the consolidation and compaction of sediments and is widely used due to its better applicability. Therefore, a novel fluid indicator

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Wibowo, Mochamad Agung, Naniek Utami Handayani, Anita Mustikasari, Sherly Ayu Wardani, and Benny Tjahjono. "Reverse Logistics Performance Indicators for the Construction Sector: A Building Project Case." Sustainability 14, no. 2 (2022): 963. http://dx.doi.org/10.3390/su14020963.

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While the performance evaluation of reverse logistics (RL) practices in the construction sector is crucial, it is seemingly limited compared to that in the manufacturing sector. As the project life cycle in the construction sector is typically long, effective coordination among the stakeholders is needed to integrate RL into each phase of the project life cycle. This paper proposes a new model of RL for the construction industry, incorporating the dimensions, elements, and, most importantly, indicators needed for the evaluation of RL performance. The model was initially derived from the extant

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Li, Ming, Jialin Wang, Ying Li, and Yingcheng Xu. "Evaluation of Sustainability Information Disclosure Based on Entropy." Entropy 20, no. 9 (2018): 689. http://dx.doi.org/10.3390/e20090689.

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Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the ob

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Khikmah, Fithrothul, Christoph Sebald, Martin Metzner, and Volker Schwieger. "Modelling Vegetation Health and Its Relation to Climate Conditions Using Copernicus Data in the City of Constance." Remote Sensing 16, no. 4 (2024): 691. http://dx.doi.org/10.3390/rs16040691.

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Monitoring vegetation health and its response to climate conditions is critical for assessing the impact of climate change on urban environments. While many studies simulate and map the health of vegetation, there seems to be a lack of high-resolution, low-scale data and easy-to-use tools for managers in the municipal administration that they can make use of for decision-making. Data related to climate and vegetation indicators, such as those provided by the C3S Copernicus Data Store (CDS), are mostly available with a coarse resolution but readily available as freely available and open data. T

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Pásztor, László, Katalin Takács, János Mészáros, et al. "Indirect Prediction of Salt Affected Soil Indicator Properties through Habitat Types of a Natural Saline Grassland Using Unmanned Aerial Vehicle Imagery." Land 12, no. 8 (2023): 1516. http://dx.doi.org/10.3390/land12081516.

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Salt meadows, protected within National Parks, cannot be directly surveyed, yet understanding their soil condition is crucial. Our study indirectly estimates soil parameters (Total Salt Content (TSC), Na, and pH) related to salinization/sodification/alkalinization using spectral indices and UAV survey-derived elevation model, focusing on continental lowland salt meadows. A vegetation map was created using 16 spectral indices and a Digital Elevation Model calculated from RGB orthophotos using photogrammetry. Field observations helped define habitat types based on the General National Habitat Cl

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Sutherland, John. "Who commits? Who engages?" Employee Relations 40, no. 1 (2018): 23–42. http://dx.doi.org/10.1108/er-02-2016-0033.

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Purpose The purpose of this paper is to address two questions: who commits? And who engages? For example, does an individual’s likelihood of committing/engaging vary with his/her age; or with the level of his/her qualifications; or with his/her occupation? Of what consequences are the characteristics of the workplace at which the individual is employed? Design/methodology/approach The investigation uses the Skills and Employment Surveys Series Data set to construct the indicators of commitment and engagement. Using an ordered-logit model and an OLS model, these indicators are analysed to ident

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Mahler, V., H. U. Prokosch, and M. Oschem. "Objectifying User Critique." Methods of Information in Medicine 50, no. 01 (2011): 23–35. http://dx.doi.org/10.3414/me09-01-0052.

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Summary Objectives: The aim of this study is to objectify user critique rendering it usable for quality assurance. Based on formative and summative evaluation results we strive to promote software improvements; in our case, the physician discharge letter composition process at the Department of Dermatology, University Hospital Erlangen, Germany. Methods: We developed a novel six-step approach to objectify user critique: 1) acquisition of user critique using subjectivist methods, 2) creation of a workflow model, 3) definition of hypothesis and indicators, 4) measuring of indicators, 5) analyzin

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Santa, Stephane Louise Boca, Felipe Teixeira Dias, Thiago Coelho Soares, Rodolfo Santa Maria de Souza e Silva, Daniel Goulart Basil, and José Baltazar Salgueirinho Osório de Andrade Guerra. "Measurement Model of Healthy and Sustainable Cities: The Perception Regarding the Sustainable Development Goals." Sustainability 15, no. 20 (2023): 15004. http://dx.doi.org/10.3390/su152015004.

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This article aims to verify the sustainability indicators that constitute a model for measuring healthy and sustainable cities and their perception of the sustainable development goals of the United Nations. To achieve this, a systematic literature review was conducted to identify sustainability indicators in healthy sustainable cities and, subsequently, included in a questionnaire. A questionnaire was administered in the city of Florianópolis, and subsequently, the results were analyzed through descriptive statistics. The relationship between these indicators and the United Nations’ sustainab

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Charou, E., S. Gyftakis, E. Bratsolis, T. Tsenoglou, Th D. Papadopoulou, and N. Vassilas. "Urban Density Indices Using Mean Shift-Based Upsampled Elevetion Data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 1353–57. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1353-2015.

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Urban density is an important factor for several fields, e.g. urban design, planning and land management. Modern remote sensors deliver ample information for the estimation of specific urban land classification classes (2D indicators), and the height of urban land classification objects (3D indicators) within an Area of Interest (AOI). In this research, two of these indicators, Building Coverage Ratio (BCR) and Floor Area Ratio (FAR) are numerically and automatically derived from high-resolution airborne RGB orthophotos and LiDAR data. In the pre-processing step the low resolution elevation da

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Jiang, Guiping, Xiaohuan Tan, Hailong Wang, Min Xu, and Xueping Wu. "Exploratory and confirmatory factor analyses identify three structural dimensions for measuring physical function in community-dwelling older adults." PeerJ 11 (April 21, 2023): e15182. http://dx.doi.org/10.7717/peerj.15182.

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Background Physical function is a strong indicator of biological age and quality of life among older adults. However, the results from studies exploring the structural dimensions of physical function are inconsistent, and the measures assessed vary greatly, leading to a lack of comparability among them. This study aimed to construct a model to identify structural dimensions that are suitable and best assess physical function among community-dwelling adults 60–74 years of age in China. Method This study was conducted in 11 communities in Shanghai, China, from May to July 2021. A total of 381 ad

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Appleton, DJ, JS Rand, and GD Sunvold. "Basal plasma insulin and homeostasis model assessment (HOMA) are indicators of insulin sensitivity in cats." Journal of Feline Medicine and Surgery 7, no. 3 (2005): 183–93. http://dx.doi.org/10.1016/j.jfms.2004.12.002.

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The objective of this study was to compare simpler indices of insulin sensitivity with the minimal model-derived insulin sensitivity index to identify a simple and reliable alternative method for assessing insulin sensitivity in cats. In addition, we aimed to determine whether this simpler measure or measures showed consistency of association across differing body weights and glucose tolerance levels. Data from glucose tolerance and insulin sensitivity tests performed in 32 cats with varying body weights (underweight to obese), including seven cats with impaired glucose tolerance, were used to

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Miciak, Jeremy, W. Pat Taylor, Karla K. Stuebing, and Jack M. Fletcher. "Simulation of LD Identification Accuracy Using a Pattern of Processing Strengths and Weaknesses Method With Multiple Measures." Journal of Psychoeducational Assessment 36, no. 1 (2016): 21–33. http://dx.doi.org/10.1177/0734282916683287.

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We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified LD status for individual cases according to the concordance/discordance method. Agreement with latent status was evaluated using (a) a single indicator, (b) two indicators as part of a test–retest “confirmation” model, and (c) a mean score. Specificit

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Kundu, Pradeep, Ashish K. Darpe, and Makarand S. Kulkarni. "An ensemble decision tree methodology for remaining useful life prediction of spur gears under natural pitting progression." Structural Health Monitoring 19, no. 3 (2019): 854–72. http://dx.doi.org/10.1177/1475921719865718.

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This article presents an ensemble decision tree–based random forest regression methodology for remaining useful life prediction of spur gears subjected to pitting failure mode. The random forest regression methodology does not require an elaborate statistics background knowledge and has an inbuilt health indicator selection capability compared to other existing data-driven remaining useful life prediction approaches. A correlation coefficient parameter based on the residual vibration signal is used for monitoring and detecting the pitting progression in spur gears. The effectiveness of the cor

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Lu, Nan, Tianqi Wang, and Zongkai Zhang. "Research on Light Pollution Based on Comprehensive Evaluation Model." Highlights in Science, Engineering and Technology 110 (July 28, 2024): 61–69. http://dx.doi.org/10.54097/e8fsyh75.

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With the rapid development of technology and economy, the place where live has become more shining and prosperous. But while can enjoy a more technological and modern living environment, it has also caused a lot of light pollution problems. Light pollution is not only harmful to human physiology and psychology, but also destroys the balance of the ecological environment. Therefore, the determination of light pollution risk levels and the development of intervention strategies for light pollution have received our attention. First, the paper screened out 12 indicators from five categories of li

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Ariyarathne, S. M. W. P. K., K. G. Madurika Nanayakkara, and S. C. Thushara. "Measurement Model to Assess Sustainable Agriculture Potential of Sri Lankan Rice Farmers Derived Using Rural Livelihood Assessment Framework: Studied in Mahaweli-Block (H)." Journal of Multidisciplinary & Translational Research 8, no. 2 (2023): 10–29. http://dx.doi.org/10.4038/jmtr.v8i2.8.

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This paper describes a systematic method that identified constructs and indicators of a measurement model to assess rice farmers' Sustainable Agriculture Potential (SAP). The method used the Rural Livelihood Assessment Framework (RLAF) definition to define SAP's primary constructs. The capital assets defined in RLAF (human, social, financial, physical, and natural) were then explained using previous Sustainable Agriculture (SA) research findings. An initial 130 indicators were framed into five-point Likert scale questions to form a research questionnaire. The questionnaire was initially admini

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Zhang, Yaqiong, Nan He, Yijing Li, Yiyang Chen, Lei Wang, and Yunlong Ran. "Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model." Discrete Dynamics in Nature and Society 2021 (November 11, 2021): 1–15. http://dx.doi.org/10.1155/2021/7027990.

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Risk assessment of public-private partnership projects has been recently acknowledged as a crucial issue in infrastructure projects. Objective assessment of risk status is conducive to the establishment of scientific and reasonable management measures. The particularity of evaluating water environment treatment PPP projects means that random errors in the evaluation index and the threshold fuzziness of evaluation degrees are issues that require attention. This paper uses the Pythagorean fuzzy cloud model to process the randomness and fuzziness of the indicators. This study assessed the risks o

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Moloney, Coleen L., Astrid Jarre, Hugo Arancibia, et al. "Comparing the Benguela and Humboldt marine upwelling ecosystems with indicators derived from inter-calibrated models." ICES Journal of Marine Science 62, no. 3 (2005): 493–502. http://dx.doi.org/10.1016/j.icesjms.2004.11.009.

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Abstract Large-scale, mass-balance trophic models have been developed for northern and southern regions of both the Benguela and Humboldt upwelling ecosystems. Four of these Ecopath models were compared and calibrated against one another. A common model structure was established, and a common basis was used to derive poorly known parameter values. The four resulting models represent ecosystems in which the main commercial fish species have been moderately to heavily fished: central-southern Chile (1992), northern-central Peru (1973–1981), South Africa (1980–1989), and Namibia (1995–2000). Quan

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Chen, Lijun, Haiping Zhang, and Weike Lu. "Assessment of the Interconnection for Multi-Transfer Facilities: A Perspective from Coupling Coordination." Sustainability 14, no. 10 (2022): 5803. http://dx.doi.org/10.3390/su14105803.

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Transfer terminals with a high integration level could provide favorable support to Mobility-as-a-Service, which is essential to sustainable transportation. The interconnection of multiple transfer facilities in terminals would affect travelers’ transfer choices during their trips. Existing research on intermodality lacks an efficient multi-dimension indicator system regarding transfer facilities. To date, the selection of representative indicator systems and the construction of quantitative evaluation models based on these indicators that can reflect the coupling relationship between transfer

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Li, Peijin, Xinyi Peng, Chonghui Zhang, and Tomas Baležentis. "Financial Cycle With Text Information Embedding Based on LDA Measurement and Nowcasting." Journal of Organizational and End User Computing 36, no. 1 (2023): 1–25. http://dx.doi.org/10.4018/joeuc.335082.

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When compared to traditional indicators, text information can capture market sentiment, investor confidence, and public opinion more effectively. Meanwhile, the mixed-frequency dynamic factor model (MF-DFM) can capture current changes. In this study, the authors constructed a financial cycle measurement and nowcasting framework by incorporating text information into factors derived from MF-DFM. The findings reveal that, first, the financial cycle indicator (FCI) provides a more detailed and forward-looking perspective on major events. Second, it can serve as an effective “early warning system”

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Zhou, Huiquan, Hao Luo, Kevin Ka-Lun Lau, Xingxing Qian, Chao Ren, and Puihing Chau. "Predicting Emergency Department Utilization among Older Hong Kong Population in Hot Season: A Machine Learning Approach." Information 13, no. 9 (2022): 410. http://dx.doi.org/10.3390/info13090410.

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Previous evidence suggests that temperature is associated with the number of emergency department (ED) visits. A predictive system for ED visits, which takes local temperature into account, is therefore needed. This study aimed to compare the predictive performance of various machine learning methods with traditional statistical methods based on temperature variables and develop a daily ED attendance rate predictive model for Hong Kong. We analyzed ED utilization among Hong Kong older adults in May to September from 2000 to 2016. A total of 103 potential predictors were derived from 1- to 14-d

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