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Journal articles on the topic 'Index construction'

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Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Desai, Radhika, and Manisha Surti. "Optimum Portfolio Construction: Sharpe Single Index Model." International Journal of Scientific Research 2, no. 9 (June 1, 2012): 250–51. http://dx.doi.org/10.15373/22778179/sep2013/82.

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2

Khan, Ghazal Zahid, and Mark A. Harrison. "Equity Index Construction." CFA Digest 42, no. 1 (February 2012): 89–91. http://dx.doi.org/10.2469/dig.v42.n1.25.

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3

Broby, Daniel. "Equity Index Construction." Journal of Index Investing 2, no. 2 (August 31, 2011): 36–39. http://dx.doi.org/10.3905/jii.2011.2.2.036.

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4

Minchin, R. Edward, Michael I. Hammons, and Junyong Ahn. "A construction quality index for highway construction." Construction Management and Economics 26, no. 12 (December 2008): 1313–24. http://dx.doi.org/10.1080/01446190802621036.

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5

Jia, Liu, and Wu Haijian. "Construction of LogisticsStatistics Index System." International Journal of Economics and Management Studies 2, no. 5 (September 25, 2015): 11–14. http://dx.doi.org/10.14445/23939125/ijems-v2i5p102.

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6

Hajkowicz, Stefan. "Multi-attributed environmental index construction." Ecological Economics 57, no. 1 (April 2006): 122–39. http://dx.doi.org/10.1016/j.ecolecon.2005.03.023.

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7

Mahmoud, Hasan, Vian Ahmed, and Salwa Beheiry. "Construction Cash Flow Risk Index." Journal of Risk and Financial Management 14, no. 6 (June 13, 2021): 269. http://dx.doi.org/10.3390/jrfm14060269.

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As investment increases in capital projects, financial risks increase, and cash flow prediction and control become more paramount. Higher risks could hinder project performance and increase the chances of failure in multiple aspects of a project. While there are models that aim to assess and forecast risks in the construction industry, none present a technique to include the impact of risks on a project’s cash flow. Therefore, cash flow forecasts tend to exceed the actual cash flow of a project due to inaccurate risk assessment. Thus, this paper presents the Cash Flow Risk Index (CFRI) development process quantifying the impact of risks on a project’s cash flow from an owner’s perspective. To that end, the study explored the literature to identify the risk factors that might impact a construction projects’ cash flow and uncovered 44 factors. The study also validated and consolidated these factors to build a CFRI via a Delphi exercise, which reduced the factors from 44 to 36. In further iterations, the 36 factors were also shared with 32 construction industry professionals to rate their relative importance on a five-point Likert scale, from which relative importance index and weights were obtained. As a result, the CFRI was developed to measure the impact of different risk factors on a typical construction project’s cash flow.

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8

Zhao, Yang, and Binghua Li. "Construction of Ecological Performance Evaluation Index for Rural Construction." E3S Web of Conferences 143 (2020): 01026. http://dx.doi.org/10.1051/e3sconf/202014301026.

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The construction of ecological performance evaluation index system of beautiful rural construction aims to promote the benign and high-quality development of rural ecological construction with the evaluation of rural ecological performance, and ultimately help to achieve the goal of regional "rural revitalization". Focusing on the ecological performance evaluation of rural construction in eastern Zhejiang Province, this paper screened and tested the evaluation indexes, and each index was given different weights based on the existing ecological performance evaluation index system combined with pre-selected evaluation indexes such as literature search and field research by means of expert consultation, questionnaire survey and analytic hierarchy process (AHP). The evaluation index system of ecological performance of beautiful rural construction was initially constructed with 2 first-class indexes, 11 secondclass indexes and 29 third-class indexes in order to improve the rural ecological space environment, enhance the rural ecological civilization, develop the quality of life of villagers, and promote rural revitalization.

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9

Meade, Nigel, and Gerald R. Salkin. "Index Funds-Construction and Performance Measurement." Journal of the Operational Research Society 40, no. 10 (October 1989): 871. http://dx.doi.org/10.2307/2583396.

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10

Zhou, De Cai, Yi Qing He, and Meng Yuan Huang. "Construction of China's Energy Condition Index." Advanced Materials Research 805-806 (September 2013): 1434–38. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1434.

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Among the supply shocks on inflation, energy is one of the most important. In order to reflect energy condition’s impact on inflation comprehensively, referring the financial condition index, we construct China’s energy condition index by bring in 3 variables: China’s energy price, consumption and production. The empirical analysis’s result shows that the index has an ideal prediction to China’s inflation.

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11

Ali Rama, Ali Rama. "Construction of Islamic Human Development Index." journal of king Abdulaziz University Islamic Economics 32, no. 1 (January 3, 2019): 43–64. http://dx.doi.org/10.4197/islec.32-1.3.

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The existing HDI concept is value neutral and unable to capture the religious and ethical perspective of socio-economic development in Muslim countries. It is argued that Muslim countries have some special features, cultures, and values that are not completely accommodated by the HDI measurement. Therefore, the current study is an attempt to propose an Islamic Human Development Index (I-HDI) as a holistic and comprehensive index for human development derived from the five dimensions of maq??id al-Shar??ah: religion (d?n), life (nafs), intellect (?aql), family (nasl) and wealth (m?l). The computation method of an I-HDI is parallel with the HDI method. The constructed index is utilized to rank the human development level for 33 provinces in Indonesia. The study finds that the composition rank between I-HDI and HDI is slightly different. However, the two indices have a statistical positive correlation confirming the assumption that I-HDI might serve as a predictor for the rank of HDI. The findings also show that the majority of the provinces in Indonesia have a poor performance in overall score of I-HDI.

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12

Jung, Youngsoo, Sangyoon Chin, and Kyungrai Kim. "Informatization Index for the Construction Industry." Journal of Computing in Civil Engineering 18, no. 3 (July 2004): 267–76. http://dx.doi.org/10.1061/(asce)0887-3801(2004)18:3(267).

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13

Minchin, R. Edward, Michael I. Hammons, Junyong Ahn, and Bouzid Choubane. "Highway Construction Quality Index for Florida." Transportation Research Record: Journal of the Transportation Research Board 2081, no. 1 (January 2008): 29–37. http://dx.doi.org/10.3141/2081-03.

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14

Kaplan, Paul D., and Rodney H. Alldredge. "Semivariance in Risk-Based Index Construction." Journal of Investing 6, no. 2 (May 31, 1997): 82–87. http://dx.doi.org/10.3905/joi.1997.408419.

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15

Meade, Nigel, and Gerald R. Salkin. "Index Funds—Construction and Performance Measurement." Journal of the Operational Research Society 40, no. 10 (October 1989): 871–79. http://dx.doi.org/10.1057/jors.1989.155.

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16

Teriö, Olli, Jaakko Sorri, Kalle Kähkönen, and Jukka Hämäläinen. "Environmental index for Finnish construction sites." Construction Innovation 14, no. 2 (April 1, 2014): 245–62. http://dx.doi.org/10.1108/ci-06-2013-0030.

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Purpose – The primary aim of this study was to better understand the grounds to develop a monitoring and performance measurement method to support the environmental management of construction operations. The practical purpose was to improve environmental activities in construction sites. This study helps to fill the gap between environmental needs and practices on construction sites. Design/methodology/approach – Action research was the principal research method. The research procedure was executed in collaboration with construction companies. The EICS meter was originally developed to create rules for environmental competition between construction sites. Since the time of this competition, the meter has been further improved in other studies. Findings – Based on the literature and feedback gained in the testing round of the EICS, five relevant categories were formulated to evaluate environmental operations: environmental information management, waste management, material handling and shielding, energy use and emissions. A simple index method was applied for these five categories. Furthermore, observation targets and acceptance criteria were defined for these categories. The meter supports environmental management in practise. The method can be used to analyse the starting point level when developing environmental processes. Originality/value – This study offers insights based on action research for both academics and practitioners. The meter is outlined for Nordic conditions, but the structure of the method is also suitable elsewhere. The national demands can be locally fine-tuned.

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17

Bast, Hannah, and Marjan Celikik. "Fast construction of the HYB index." ACM Transactions on Information Systems 29, no. 3 (July 2011): 1–33. http://dx.doi.org/10.1145/1993036.1993040.

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18

Ibrahim, Ahmed H., and Mohamed A. Shaker. "Sustainability index for highway construction projects." Alexandria Engineering Journal 58, no. 4 (December 2019): 1399–411. http://dx.doi.org/10.1016/j.aej.2019.11.011.

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19

Wang, Yafei, Panmao Zhai, and Jianzhao Qin. "Construction of the OKJ teleconnection index." Theoretical and Applied Climatology 114, no. 1-2 (February 1, 2013): 303–14. http://dx.doi.org/10.1007/s00704-013-0837-9.

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20

Park, Moonseo, Hyun-Soo Lee, and Soonseok Kwon. "CONSTRUCTION KNOWLEDGE EVALUATION USING EXPERT INDEX." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 16, no. 3 (September 30, 2010): 401–11. http://dx.doi.org/10.3846/jcem.2010.46.

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While the current global economy can be characterized by the intensification of business competitiveness, leaner organizations, the convergence of products and services, and by vast technological developments, the risks and un‐certainties inherent in such a dynamic environment make the management of organizational knowledge even more crucial. Indeed, previous theoretical and empirical‐based studies have proven that knowledge leads to organizational success. Knowledge Management (KM) has particularly gained credence, and continues to generate interest, in academic and business circles. KM is of especial interest to project‐based industries such as construction, as the effective management of knowledge is critical to the survival and continued advancement of a company. In fact, in the construction industry, the implementation of a knowledge management system (KMS) is currently being considered, and an increasing number of companies have already proposed knowledge management initiatives. However, quality of information must take precedence over quantity, especially in the developmental phases of this KMS. Therefore, how to filter and accurately evaluate quantitative and qualitative data becomes a significant challenge. Yet, thus far, only a few studies examining the improvement of knowledge evaluation have been conducted and that researches only focus on the evaluation methods. This research addresses these issues by focusing on knowledge management and evaluation and by specifically addressing how evaluate knowledge effectively. Based on the Active Knowledge Management, this study proposes a process model for effectual construction knowledge evaluation using Expert Index (EI). EI is the level of specialty workers achieve in a certain field after engaging in a knowledge activity. The proposed model will not only enable precise evaluation, but will also provide stimulating knowledge activities; thus, if practically applied, this model could enhance actual organizational success. Santrauka Šiuolaikinei globaliajai ekonomikai būdingas konkurencijos didejimas, organizaciju lankstumas, gaminiu ir paslaugu suartejimas bei didžiuliai technologiniai laimejimai. Ši dinamine verslo aplinka kartu susijusi su rizika ir neapibrežtumais, didinančiais organizacijos žiniu vadybos (ŽV) svarba. Ankstesni teoriniai ir empiriniai tyrimai rodo, kad šios žinios ‐ organizacijos sekmes šaltinis. Žiniu vadyba tampa vis svarbesne akademinei ir verslo aplinkai. ŽV labai domimasi pramones šakose, kuriose didele reikšme turi projektai. Statyba yra viena iš tokiu šaku, joje veiksmingas žiniu valdymas, padedantis užtikrinti imoniu išlikima ir nuolatini vystymasi, yra labai svarbus. Šiuo metu statybos pramoneje diegiamos žiniu vadybos sistemos (ŽVS) ir vis daugiau imoniu pateikia ŽV siūlymu. Būtina siekti, kad žiniu kokybe būtu labiau vertinama nei žiniu kiekis, ypač ŽVS kūrimo tarpsniu. Todel kiekybinis ir kokybinis žiniu atsijojimas tampa rimta užduotimi. Deja, iki šiol atlikta mažai tyrimu, kaip gerinti žiniu vertinima. Atliekant šiuos tyrimus demesys telkiamas tik i žiniu vertinimo metodus. Straipsnyje efektyvus žiniu vertinimas nagrinejamas ŽV metodais. Pasitelkus aktyviaja ŽV kuriamas statybos žiniu vertinimo modelis ir taikomas ekspertu rodiklis (ER). ER išreiškia specialistu, isisavinančiu specifine informacija, žiniu lygi. Siūlomas modelis leis ne tik tiksliai vertinti, bet ir skatinti žiniu gavima. Taigi, taikant ši modeli praktikoje, bus galima gerinti imones veikla.

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21

Mahmoud, Hasan, and Salwa Beheiry. "Sustainability Inclusion in Construction Contracts Index." Journal of Legal Affairs and Dispute Resolution in Engineering and Construction 13, no. 4 (November 2021): 04521033. http://dx.doi.org/10.1061/(asce)la.1943-4170.0000503.

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22

Antalan, John Rafael Macalisang, and Francis Joseph Campena. "A Breadth-first Search Tree Construction for Multiplicative Circulant Graphs." European Journal of Pure and Applied Mathematics 14, no. 1 (January 31, 2021): 248–64. http://dx.doi.org/10.29020/nybg.ejpam.v14i1.3884.

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In this paper, we give a recursive method in constructing a breadth-first search tree for multiplicative circulant graphs of order power of odd. We then use the proposed construction in reproving some results concerning multiplicative circulant graph's diameter, average distance and distance spectral radius. We also determine the graph's Wiener index, vertex-forwarding index, and a bound for its edge-forwarding index. Finally, we discuss some possible research works in which the proposed construction can be applied.

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23

Sacks, Rafael, Olli Seppänen, Vitaliy Priven, and Jonathan Savosnick. "Construction flow index: a metric of production flow quality in construction." Construction Management and Economics 35, no. 1-2 (January 6, 2017): 45–63. http://dx.doi.org/10.1080/01446193.2016.1274417.

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24

Vines, Prue. "Construction Claims." Construction Economics and Building 14, no. 2 (June 18, 2014): 133–34. http://dx.doi.org/10.5130/ajceb.v14i2.3965.

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25

Zhao, Zhe Sheng, and Bi Lin Shao. "The Research of Accident Emergency Ability Evaluation of Construction Enterprise." Applied Mechanics and Materials 737 (March 2015): 441–45. http://dx.doi.org/10.4028/www.scientific.net/amm.737.441.

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In view of the current situation that lacking of the guidance method on evaluation emergency ability for construction enterprises,This article uses the extension matter-element model to evaluate construction enterprise accident emergency ability. According to the time node characteristics of accident emergency ability,Using AHP for constructing the evaluation index system of accident emergency abilities of construction enterprises and determining the weight coefficient of each index ,Using extension theory to establish the evaluation model of construction enterprise emergency ability,and taking an example conducted evaluation and determined the accident emergency ability grade.

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26

El-Zekey, M., and M. Khattab. "Lattice-based Sum Construction of Nullnorms on Bounded Lattices." Circulation in Computer Science 3, no. 4 (June 28, 2018): 1–9. http://dx.doi.org/10.22632/ccs-2018-252-84.

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Nullnorms on bounded lattices are generalizations of t-norms and t-conorms with a zero element laying anywhere in the underlying lattices. In this paper, new methods for constructing nullnorms on bounded lattices are proposed. The proposed construction methods are based on the lattice-based sum of lattices that has been recently introduced by El-Zekey et al. (see [9]), for building new (bounded) lattices from fixed ones indexed by a (finite) lattice-ordered index set. Subsequently, the new construction methods are applied for building several new families of nullnorms on bounded lattices. As a by-product, lattice-based sum constructions of t-norms and t-conorms on bounded lattices have been obtained. Furthermore, new idempotent nullnorms on bounded lattices have been also obtained.

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27

A. Kamalova, Alina, and Wilfred Isioma Ukpere. "Problems of statistical study of labor productivity in construction." Problems and Perspectives in Management 14, no. 1 (April 11, 2016): 235–39. http://dx.doi.org/10.21511/ppm.14(1-1).2016.12.

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The article focuses on the problems of statistical measurement of labor productivity in construction, as recent years saw the most significant changes in the methodology of calculating construction products. The study examined the factors affecting the dynamics of labor productivity in construction, calculated by the volume of work at estimate piece that is at the index known as “average output per worker” in the practice of planning and statistics. Labor productivity is a complex qualitative index, which is influenced by numerous factors. Therefore, the most effective method for studying the dynamics of labor productivity is the use of the index method. The index method seems to be widely used in statistical research of labor productivity in construction

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28

Mrozek, Marian. "Construction and properties of the Conley index." Banach Center Publications 47, no. 1 (1999): 29–40. http://dx.doi.org/10.4064/-47-1-29-40.

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29

Ma, Chun Jie, and Yan Ting Ma. "Credit Evaluation Index System of Construction Enterprises." Applied Mechanics and Materials 209-211 (October 2012): 1423–28. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.1423.

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Based on the analysis of the current status on the credit crisis of construction enterprises, this paper established the Credit Evaluation Index System of Construction Enterprises combined with modern characteristics in the industry. By using the method of Analytic Hierarchy Process and Cluster Analysis, we determine the weight of each index, and then calculate each index data using fuzzy mathematic principle. Thus give an objective evaluation on the credit situation of construction enterprises.

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30

Li, Shushu, Haoran Xu, and Hua Shen. "Research on the Urban Environmental Construction Index." Research Journal of Applied Sciences, Engineering and Technology 5, no. 2 (January 11, 2013): 475–80. http://dx.doi.org/10.19026/rjaset.5.4976.

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31

Lee, Eui-Dong, and Han-Soo Kim. "Analysis of Construction Management Business Survey Index." Korean Journal of Construction Engineering and Management 12, no. 3 (May 31, 2011): 83–90. http://dx.doi.org/10.6106/kjcem.2011.12.3.83.

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32

Dembitskyi, Serhii S. "Normless Anomie Index (NLAI): Construction and Validation." Sociological Journal 25, no. 3 (2019): 8–25. http://dx.doi.org/10.19181/socjour.2019.25.3.6673.

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This article presents the results of constructing and validating the “Normless anomie index” (NLAI) sociological test, designed to measure the level of anomie among Russian-speaking and Ukrainian-speaking respondents. The theoretical validity of NLAI is based on an understanding of anomie that was proposed and detailed in the works of R. Merton. The content of the index is based on normless indicators presented in the articles of D. Dean, G. McCloskey and J. Shaar, as well as indicators presented in this article. The study is based on data from two surveys (November 2018, N = 600; April 2019, N = 600), which represent the adult population of Ukraine according to such parameters as age, gender, type of settlement and region of residence. For the purpose of empirical validation, the factor structure of the theoretical construct was analyzed (exploratory and confirmatory factor analysis) and construct validity was confirmed based on indicators that describe respondents’ political consciousness and their social well-being (correlation analysis). Three versions of NLAI were tested: 1) based on indicators claiming the existence of norms, as well as based on indicators claiming the opposite (survey conducted in 2018); 2) based on indicators claiming only the absence of norms, with more specific wording (survey conducted in 2019); 3) based on indicators claiming only the absence of norms, with more abstract wording (survey conducted in 2019). A conclusion is made about the higher quality of the second version of NLAI. A classifier of answers to the NLAI indicators is proposed, which allows for categorizing respondents into four groups: anomic (predominance of answers which indicate the absence of norms), ambivalent (there are answers indicating both the absence of norms and their presence), undefined (answers prevail which indicate the absence of a clear position) and non-anomic (prevailing answers indicating the presence of norms).

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33

Lester, Nicholas, Alistair Moffat, and Justin Zobel. "Efficient online index construction for text databases." ACM Transactions on Database Systems 33, no. 3 (August 2008): 1–33. http://dx.doi.org/10.1145/1386118.1386125.

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34

Lejeune, Miguel A., and Gülay Samatlı-Paç. "Construction of Risk-Averse Enhanced Index Funds." INFORMS Journal on Computing 25, no. 4 (November 2013): 701–19. http://dx.doi.org/10.1287/ijoc.1120.0533.

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35

Bai, Caiquan, Yiqing He, Decai Zhou, Yi Zhang, and Zhengyi Jiang. "Construction of China’s nominal energy condition index." International Journal of Energy Sector Management 9, no. 3 (September 7, 2015): 311–22. http://dx.doi.org/10.1108/ijesm-05-2013-0012.

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Purpose The paper aims to know about energy condition’s impacts on inflation comprehensively. Design/methodology/approach This paper constructs China’s energy condition index (ECI) by bringing in three variables (China’s energy price, consumption and production) based on the financial condition index. Findings The result of empirical analysis shows that the index can predict China’s inflation well. Originality/value China’s ECI can predict China’s inflation well.

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36

Kale, Serdar. "Fuzzy Intellectual Capital Index for Construction Firms." Journal of Construction Engineering and Management 135, no. 6 (June 2009): 508–17. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000014.

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37

Hassanein, Amr A. G., and Zeyad H. R. Hakam. "A bidding decision index for construction contractors." Building Research & Information 24, no. 4 (July 1996): 237–44. http://dx.doi.org/10.1080/09613219608727535.

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38

Lee, Jong-kook, Han-bong Jung, Pa-jong Kim, Bo-ra Kim, and Un-kyo Lee. "Subject-oriented Index for Construction Project Management." Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology 7, no. 1 (January 31, 2017): 201–8. http://dx.doi.org/10.14257/ajmahs.2017.01.82.

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39

Congdon, P. "Commentary: Contextual effects: index construction and technique." International Journal of Epidemiology 33, no. 4 (July 28, 2004): 741–42. http://dx.doi.org/10.1093/ije/dyh173.

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40

Yoon, Kun, and June Park. "Social Integration Index: Construction, Measurement, and Verification." Korean Policy Studies Review 28, no. 3 (September 30, 2019): 1–35. http://dx.doi.org/10.33900/kaps.2019.28.3.1.

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41

Hwang, San-Yih, Wan-Shiou Yang, and Kang-Di Ting. "Automatic index construction for multimedia digital libraries." Information Processing & Management 46, no. 3 (May 2010): 295–307. http://dx.doi.org/10.1016/j.ipm.2009.10.006.

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42

Jiang, Lin, Junqiao Qiu, and Zhijia Zhao. "Scalable structural index construction for JSON analytics." Proceedings of the VLDB Endowment 14, no. 4 (December 2020): 694–707. http://dx.doi.org/10.14778/3436905.3436926.

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JavaScript Object Notation (JSON) and its variants have gained great popularity in recent years. Unfortunately, the performance of their analytics is often dragged down by the expensive JSON parsing. To address this, recent work has shown that building bitwise indices on JSON data, called structural indices , can greatly accelerate querying. Despite its promise, the existing structural index construction does not scale well as records become larger and more complex, due to its (inherently) sequential construction process and the involvement of costly memory copies that grow as the nesting level increases. To address the above issues, this work introduces Pison - a more memory-efficient structural index constructor with supports of intra-record parallelism. First, Pison features a redesign of the bottleneck step in the existing solution. The new design is not only simpler but more memory-efficient. More importantly, Pison is able to build structural indices for a single bulky record in parallel, enabled by a group of customized parallelization techniques. Finally, Pison is also optimized for better data locality, which is especially critical in the scenario of bulky record processing. Our evaluation using real-world JSON datasets shows that Pison achieves 9.8X speedup (on average) over the existing structural index construction solution for bulky records and 4.6X speedup (on average) of end-to-end performance (indexing plus querying) over a state-of-the-art SIMD-based JSON parser on a 16-core machine.

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43

Cheng, Qijin, Chi-Leung Kwok, Forrest T. W. Cheung, and Paul S. F. Yip. "Construction and validation of the Hong Kong Altruism Index (A-Index)." Personality and Individual Differences 113 (July 2017): 201–8. http://dx.doi.org/10.1016/j.paid.2017.03.042.

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44

Krivoshlykov, S. G., and I. N. Sissakian. "Optimal refractive index profile construction for multimode graded-index optical waveguides." Optics Communications 54, no. 5 (July 1985): 265–69. http://dx.doi.org/10.1016/0030-4018(85)90351-7.

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45

Shang, Jiayu. "Construction of Green Community Index System under the Background of Community Construction." Journal of Building Construction and Planning Research 07, no. 04 (2019): 115–25. http://dx.doi.org/10.4236/jbcpr.2019.74008.

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46

Park, Junmo, and Okkyue Kim. "Development on Breakdown Structure of Construction Site centered Construction Temporary Technology Index." Korean Journal of Construction Engineering and Management 15, no. 4 (July 31, 2014): 77–85. http://dx.doi.org/10.6106/kjcem.2014.15.4.077.

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47

Yang, Ya Pin. "Green Evaluation Analyse of the Construction Quality Management." Applied Mechanics and Materials 357-360 (August 2013): 2529–32. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2529.

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The quality of construction management is a complicated work, green evaluation should be carried out systematically analysis. Evaluation index system according to the factors affecting the constructions quality, the quality management system can divide into four indexes including staff, material, equipment and technology as factor layer. This system help evaluate construction management systematically and synthetically.

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48

Liu, Shou Yi, Feng Yun Li, and Dong Ling Wei. "Evaluation Index System of Agricultural Information." Applied Mechanics and Materials 278-280 (January 2013): 2195–98. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2195.

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[Purpose] This paper is to explore agricultural information evaluation system construction, its basic composition, to build mechanisms and principles. [Method] Empirical analysis combining with normative analysis; system with statistical analysis; literature research with practical investigation are used. [Results] The framework of it is evaluation index system of agricultural information to information resources, infrastructure construction, technology, industrial development, environmental assessment policy, the external environment, human resources and other indicators ; its composition is based on evaluation of the target system, standard, model, index system , methods, data, reports for the elements; its construction should adhere to the principle of rationality and effectiveness. [Conclusions] The goal of the Agriculture Information Evaluation Index System is to evaluate the method by running the status of agricultural information, to monitor the construction of agricultural information trends, to optimize management decisions, to guide future development direction and decision-making basis of agricultural information construction.

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Zhao, Ling Li, Shuai Liu, and Jun Sheng Li. "Thematic Data Index Construction Based on Urban Data." Applied Mechanics and Materials 198-199 (September 2012): 596–600. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.596.

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The paper is focused on these thematic data index construction, and puts forward a kind of category data indexes for rapid queries for urbanization thematic data index. The corresponding metadata tables could be constructed as non-spatial data are stored in the binary format. This aim is to classify the data by the metadata information and to establish the classified index respectively for the attribute data. The experiments confirmed that the proposed the category index can create urban thematic data index, and can quickly query attribute data needed.

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Gleason, Patrick J., N. Davies Mtundu, Carl Woehlcke, Ashie Akpoji, and Kyle Husted. "Escalating Well Construction Costs in South Florida Significantly Exceed ENR Construction Cost Index." Proceedings of the Water Environment Federation 2007, no. 8 (October 1, 2007): 8925–33. http://dx.doi.org/10.2175/193864707787780567.

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