Thematische Bibliographien / Growth indices

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Auswahl der wissenschaftlichen Literatur zum Thema „Growth indices“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

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Zeitschriftenartikel zum Thema "Growth indices"

Simões, Maurício dos Santos, Jansle Vieira Rocha und Rubens Augusto Camargo Lamparelli. „Growth indices ans productivity in sugarcane“. Scientia Agricola 62, Nr. 1 (Januar 2005): 23–30. http://dx.doi.org/10.1590/s0103-90162005000100005.

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A knowledge about the temporal development of agronomic variables in sugarcane is a very important aspect for the development of crop yield prediction models using remote sensing, and further studies are still needed. This paper describes the temporal evolution of sugarcane biophysical parameters, such as total biomass, leaf area index, number of plants per meter, and productivity. During two seasons, a commercial field in Araras/SP, planted with variety SP80-1842, on the 4th and 5th cuts, was monitored on eight different dates, and data were obtained for 2 m of sugarcane in three crop rows at 18 sampling points. Linear and multiple regression analyses were used to study growth analysis and to correlate agronomic variables (leaf area index and number of plants per meter) with biomass and productivity. Gompertz model, a sigmoidal curve, was the best adjustment curve for total biomass and yield in relation to days after cutting (r² = 0.8987 and r² = 0.9682, respectively); number of plants and leaf area index showed best fit with a cubic exponential model and a quadratic exponential model, respectively. Total biomass and cane productivity were well correlated with LAI in the first two stages of the sugarcane cycle using linear regression. At the end of the cycle, total biomass and cane productivity were more related to number of plants, and lower r² values than in other stages were obtained by the models.

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Carrión Ordoñez, José Gonzalo, María Elisa Carrión Barreto, Gleici Da Silva Castro Perdoná und Natielle Gonçalves de Sá. „Evaluación de los índices biométricos fetales para el diagnóstico del Retardo del Crecimiento Fetal“. Revista Médica del Hospital José Carrasco Arteaga 14, Nr. 3 (24.07.2023): 166–72. http://dx.doi.org/10.14410/2022.14.3.ao.25.

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BACKGROUND: Fetal Growth Restriction occurs when a fetus does not reach its intrauterine growth potential due to genetic and/or environmental factors; it is associated with increased perinatal mortality and morbidity and also predisposes to the development of chronic disorders in adulthood. The aim of this study was to evaluate the accuracy of the Biometric Indices: Femur Length/Abdominal Circumference (FL/AC); Transverse Cerebellar Diameter/Abdominal Circumference (TCD/AC) and Humerus, Cerebellum, Femur/Abdominal Circumference Equation (HCF/AC); in predicting fetal growth retardation. METHODS: Diagnostic tests validation study, with a universe of pregnant patients who attended the outpatient clinic of Hospital General Machala, El Oro-Ecuador, for prenatal control, between 32 and 38 weeks of gestation. The following variables were obtained: gestational dating; ultrasound fetal biometry of all the necessary parameters for the described indices calculation; fetal weight estimated by ultrasound, with cut-off point ≤ P° 10. The LH/CA and TCD/CA Indices were calculated, with cut-off points for fetal growth retardation diagnosis of ≥ 23.5 and ≥16.1 respectively. The index proposed by the authors HCF/CA was also applied, taking as cut-off point the 90th percentile: ≥ 1.063. RESULTS: The prevalence of fetal weight less P° 10 in the present study was 12.22%. The biometric index with the highest sensitivity was the HCF CA index with 70.3%; however, the highest specificity was obtained for the LF CA index with 84%. The positive predictive value of the DTC CA index was 24.7%, of the LF CA index: 27.9%, and of the HCF CA index: 31.1%. The negative predictive values found were, DTC CA: 93.9%; LF CA: 91.6% and HCF CA: 95.0%. The positive likelihood ratios obtained were: DTC CA: 2.352; LF CA: 2.781 and HCF CA: 3.25. The negative likelihood ratios were, HCF CA: 0.378, DTC CA: 0.465, LF CA: 0.661. CONCLUSION:The biometric indices for prediction of fetal growth retardation have limited positive predictive accuracy. All indices have high negative predictive accuracy. To confirm the presence of condition disease the HCF CA index has better results, as well as to confirm the absence of the condition disease; the addition of the HCF CA Index increases the predictive results; the Odds Rate obtained indicates that there is 8.595 times higher probability of a positive response, when the condition"fetus in percentile ≤ 10" is present.

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Li, Huaimin, Weipan Lin, Fangrong Pang, Xiaoping Jiang, Weixing Cao, Yan Zhu und Jun Ni. „Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis“. Sensors 20, Nr. 10 (20.05.2020): 2894. http://dx.doi.org/10.3390/s20102894.

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An instrument developed to monitor and diagnose crop growth can quickly and non-destructively obtain crop growth information, which is helpful for crop field production and management. Focusing on the problems with existing two-band instruments used for crop growth monitoring and diagnosis, such as insufficient information available on crop growth and low accuracy of some growth indices retrieval, our research team developed a portable three-band instrument for crop-growth monitoring and diagnosis (CGMD) that obtains a larger amount of information. Based on CGMD, this paper carried out studies on monitoring wheat growth indices. According to the acquired three-band reflectance spectra, the combined indices were constructed by combining different bands, two-band vegetation indices (NDVI, RVI, and DVI), and three-band vegetation indices (TVI-1 and TVI-2). The fitting results of the vegetation indices obtained by CGMD and the commercial instrument FieldSpec HandHeld2 was high and the new instrument could be used for monitoring the canopy vegetation indices. By fitting each vegetation index to the growth index, the results showed that the optimal vegetation indices corresponding to leaf area index (LAI), leaf dry weight (LDW), leaf nitrogen content (LNC), and leaf nitrogen accumulation (LNA) were TVI-2, TVI-1, NDVI (R730, R815), and NDVI (R730, R815), respectively. R2 values corresponding to LAI, LDW, LNC and LNA were 0.64, 0.84, 0.60, and 0.82, respectively, and their relative root mean square error (RRMSE) values were 0.29, 0.26, 0.17, and 0.30, respectively. The addition of the red spectral band to CGMD effectively improved the monitoring results of wheat LAI and LDW. Focusing the problem of vegetation index saturation, this paper proposed a method to construct the wheat-growth-index spectral monitoring models that were defined according to the growth periods. It improved the prediction accuracy of LAI, LDW, and LNA, with R2 values of 0.79, 0.85, and 0.85, respectively, and the RRMSE values of these growth indices were 0.22, 0.23, and 0.28, respectively. The method proposed here could be used for the guidance of wheat field cultivation.

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Bielecki, Tomasz R., Igor Cialenco und Marcin Pitera. „Dynamic Limit Growth Indices in Discrete Time“. Stochastic Models 31, Nr. 3 (03.07.2015): 494–523. http://dx.doi.org/10.1080/15326349.2015.1053616.

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Alexeev, Alexander G., und Mikhail V. Sokolov. „A theory of average growth rate indices“. Mathematical Social Sciences 71 (September 2014): 101–15. http://dx.doi.org/10.1016/j.mathsocsci.2014.05.004.

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Jain, R. C., R. Agrawal und M. P. Jha. „Use of Growth Indices in Yield Forecast“. Biometrical Journal 27, Nr. 4 (1985): 435–39. http://dx.doi.org/10.1002/bimj.4710270415.

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Kakade, Vikas Chintaman, und Anil Prabhakar Mokashi. „Development of Local Percentile Growth Charts of Children between Birth to Ten Years“. International Journal of Research and Review 8, Nr. 11 (11.11.2021): 26–31. http://dx.doi.org/10.52403/ijrr.20211105.

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Growth pattern of human population changes with time and place. Particularly developing countries, country like India, is in a stage of nutritional transition hence it is necessary to update growth references regularly. The present study is carried out on 0-10 years from Baramati from Pune district of Maharashtra. We considered that children from maternity homes, BCG camps, well baby clinics, immunization camps, private clinics, ‘Anganwadis and Balwadis’, Nurseries’ and schools etc. Our study shows that growth performance of Anthropometric indices for Baramati children is much less than National Centre of Health Statistics (NCHS) and slightly less than Indian Council of Medical Research ICMR and Affluent Indians (AI). We have proposed growth charts for Baramati region to monitor growth parameters. Keywords: Anthropometric Indices, NCHS, ICMR, AI.

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Naik, M. Tagore, D. Srihari, A. V. D. Dorajeerao, K. Sasikala, K. Umakrishna und D. R. S. Suneetha. „Growth Indices Influenced by Plant Growth Regulators in Seed Cluster Bean“. International Journal of Current Microbiology and Applied Sciences 7, Nr. 11 (10.11.2018): 3104–17. http://dx.doi.org/10.20546/ijcmas.2018.711.356.

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Petrin, Rumen. „GROWTH-RATE INDICES AND GROWTH TYPE COEFFICIENTS IN HEIGHT OF BROADLEAVES FOREST STANDS“. Forestry Engineering Journal 12, Nr. 4 (01.01.2023): 47–59. http://dx.doi.org/10.34220/issn.2222-7962/2022.4/4.

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Based on published data about the growth in height of model and other stands of seed-tree common beech, oak, deciduous and coppice deciduous stands have their rates of growth been investigated within one and the same age interval. New indicators have been used for establishing the respective growth rates – growth-rate indi-ces. New coefficients have been suggested for estimating the types of growth, and their applicability to use has been proved as these coefficients have been compared with the zero natural indicators of types of growth. A high level of correlation has been found with that. An analysis was made of the height growth rates of the studied stands based on their index curves. Further on, by applying the new coefficients of types of growth, the values and intervals of growth-rate indices according to types of growths, have been found for the stands of the tree spe-cies investigated. It has been concluded thatthe coefficients of types of growth, as well as the growth-rate indices, are rather convenient instruments for finding differences in the rates and types of the growth of forest stands in height.

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Kwesi Nyarko, Peter, und Christiana Cynthia Nyarko. „Modelling Forest Growth Indices on Vegetation Pattern Formation“. American Journal of Applied Mathematics 9, Nr. 4 (2021): 108. http://dx.doi.org/10.11648/j.ajam.20210904.13.

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Dissertationen zum Thema "Growth indices"

Van, Hoof Bram. „Property indices : Extrapolation of the IPD Japan Capital Growth Index“. Thesis, KTH, Bygg- och fastighetsekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-77013.

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The aim of this work is to extrapolate the IPD Japan Capital Growth index series historically back to the early 1980’s. Using existing, long-running, macro-economic and property-related time series as inputs, we will try to set up a statistical model which can extrapolate the existing eight-year track record back for as many years as statistically significant. Our aim is to set up a model which allows us to produce a historical real estate capital growth series going back for 15 to 20 year.

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Berner, Logan T. Bunn Andrew Godard. „Evaluation of high-latitude boreal forest growth using satellite-derived vegetation indices /“. Online version, 2010. http://content.wwu.edu/cdm4/item_viewer.php?CISOROOT=/theses&CISOPTR=343&CISOBOX=1&REC=20.

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Riitters, Kurt H. „Evenness Indices Measure the Signal Strength of Biweight Site Chronologies“. Tree-Ring Society, 1990. http://hdl.handle.net/10150/261927.

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The signal strength of a biweight site chronology is properly viewed as an outcome of analysis rather than as a property of the forest-climate system. It can be estimated by the evenness of the empirical weights that are assigned to individual trees. The approach is demonstrated for a 45-year biweight chronology obtained from 40 jack pine (Pinus banksiana Lamb.) trees. The annual evenness of the empirical weights is calculated by indices derived from the Shannon and Simpson diversity indices, and the variances are found by the jackknife procedure. The annual estimates are then averaged to find an overall estimate of biweight signal strength for the 45-year period. These techniques are most useful for determining sample sizes for the biweight procedure, and for comparing different methods of detrending and standardizing data sets prior to applying the biweight mean-value function.

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Callison, James Charles. „Site quality indices for the Emory oak woodlands of southeastern Arizona“. Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184698.

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Site index curves were constructed for the Emory oak (Ouercus emoryi) woodlands of the San Rafael Valley in southeastern Arizona. The woodlands primarily consisted of trees that were of sprout origin. Growth was rapid for 10 years, moderate from 10 to 20 years, and slow after 20 years. No trees in the study area were more than 40 feet tall. Stepwise regression analysis was used to analyze the relationship between site index and site factors. Important variables included available soil water holding capacity, percent volume of coarse fragments, radiation index, percent sand, litter depth, and soil pH. Two models were developed; the r² values were 0.56 and 0.49, respectively. Analysis of variance was used to test for differences between site index on different soil types and slope positions. All statistical tests were conducted using a 0.10 level of significance. The sample consisted of 100 trees. Most of the factors were involved with availability of water to the tree roots. Emory oak grows in a dryland area where water is a limiting factor. Therefore, the effect that soil and terrain has on the availability of water to tree roots is an important impact on the site index for Emory oak woodlands.

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CURI, CLAUDIA. „An Improved procedure for Bootstrapping Malmquist Indices and its applications on the regional economic growth“. Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/725.

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Estendendo l’approccio di decomposizione dell’Indice di Malmquist proposto da Fare et al. (1992) secondo cui la variazione della produttività è descritta come variazione della tecnologia e dell’efficienza, Simar e Wilson (1999) hanno fornito per la prima volta un’interpretazione statistica dell’indice e dei suoi componenti, proponendo un algoritmo basato sul bootstrap per stimare gli intervalli di confidenza degli indici sopra definiti. In questa tesi si è, per la prima volta, proposto un nuovo metodo di stima della densità, basato su una selezione più accurata della bandwidth, partendo e adattando i recenti sviluppi introdotti da Simar e Wilson (2007) nel caso univariato al caso bivariato. Inoltre, per la prima volta è stata testata la performance delle procedure per stimare gli indici, attraverso l’implementazione di simulazioni Monte Carlo. Essi hanno mostrato un basso livello di performance del modello proposto da Simar e Wilson nel 1999 rispetto a quello proposto in questo lavoro. In particolare, essi hanno evidenziato che la procedura di stima della densità è molto sensibile alla presenza di valori unitari dell’efficienza, tanto da fornire seri problemi nella valutazione della stima della funzione di densità continua. Inoltre, sono stati applicati e adattati i data driven methods, che hanno evidenziato risultati diversi rispetto alla procedura originale, lasciano ampi spazi a ricerche future. Da un punto di vista empirico, è stata analizzata la crescita delle regioni italiane attraverso la Total Factor Productivity (TFP), nel periodo 1980-2001. Quindi sono stati stimati l’indice di Malmquist e i suoi componenti come pure i loro rispettivi intervalli di confidenza, applicando la procedure migliore, identificata nella fase di ricerca precedente. E’ stato registrato un guadagno complessivo della variazione della produttività, corretta nella bias, del 2.1%, dell’efficienza del 0.5% e della tecnologia del 1.6%. L’analisi di sensibilità, basata su tecniche bootstrap, ha rilevato che per la maggior parte delle regioni italiane l’efficienza e la tecnologia non hanno mostrato cambiamenti statisticamente significativi. Secondo questi risultati, l’approccio inferenziale ha fornito un’analisi più accurata e rigorosa rispetto all’approccio tradizionale, adottato da Leonida et al.(2004 ,Table 1, pg. 2190) nella quale le stime sono state valutate come miglioramenti o recessioni, trascurando sia la correzione della bias che il loro significato statistico.
Improving the Fare et al. (1992) approach on Malmquist index of productivity, which can be decomposed into indices describing changes in technology and changes in efficiency , Simar and Wilson (1999) provided a statistical interpretation to their Malmquist productivity index and its components, and presented a bootstrap algorithm to estimate confidence intervals for the indices. Extending the recent developments introduced by Simar and Wilson (2007) in the bandwidth specification in the univariate case, we propose new methods of density estimation, based on more accurate bandwidth specification. Monte Carlo experiments have been computed for the first time in this context. They have shown a low quality of performance of the Simar and Wilson (1999)'s bootstrap approximations, and high level of quality for the proposed methods. In particular, they have found out as best performer method the procedure based on the density estimation without considering the ones, revealing the severe problem of deteriorating the estimation of the continuous density of the efficiency scores. Moreover, data driven methods have been applied to the Malmquist Index framework and at this stage of research they have shown different results from those provided by Simar and Wilson (1999). From an empirical point of view, Total Factor Productivity (TFP) growth of the Italian regions over the period 1980-2001 has been analyzed. Malmquist Productivity Index (MPI) and its components (namely Efficiency Change and Technical Change) as well as confidence intervals have been estimated by applying the best performed procedure, previously determinated. Including human capital among inputs, we estimated an overall bias-corrected productivity gain of 2.1 percent, an efficiency gain of 0.5 and a technical gain of 1.6 percent. The bootstrap analysis revealed that for most Italian regions efficiency and technical changes did not show a statistically significant change. According to these results, the inferential approach has provided a more rigorous and accurate insights on the Italian regional TFP than the traditional Data Envelopment Analysis (DEA) estimation carried out by Leonida et al.(2004 ,Table 1, pg. 2190) in which all the estimated values are interpreted as progress or regress without taking into account the bias of the estimated values and their statistical significance.

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Oguz, Emin Oguzhan. „Morphological indices of the human cerebellum in normal birth-weight and growth retarded infants : a stereological study“. Thesis, University of Liverpool, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369047.

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Nambuthiri, Susmitha Surendran. „Soil water and crop growth processes in a farmer's field“. Lexington, Ky. : [University of Kentucky Libraries], 2010. http://hdl.handle.net/10225/1140.

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Thesis (Ph. D.)--University of Kentucky, 2010.
Title from document title page (viewed on May 12, 2010). Document formatted into pages; contains: xii, 310 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 298-309).

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Jabour, Anwar Shawqi Alhazmi. „ASSESSMENT OF SPHENO-OCCIPITAL SYNCHONDROSIS FUSION TIMING AND AN EVALUATION OF ITS RELATIONSHIP WITH SKELETAL MATURITY, DENTAL MATURITY AND MANDIBULAR GROWTH“. Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1492129080263492.

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Maerten-Rivera, Jaime. „A Comparison of Modern Longitudinal Change Models with an Examination of Alternative Error Covariance Structures“. Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/376.

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The purpose of this research was to compare results from two approaches to measuring change over time. The multilevel model (MLM) and latent growth model (LGM) were imposed and the parameter estimates were compared, along with model fit. The study came out of education and used data collected from 191 teachers as part of a professional development intervention in science, which took place over four years. There were missing data as a result of teacher attrition. Teachers reported use of reform-oriented practices (ROP) was used as the outcome, and teacher-level variables were examined for their impact on initial ROP and change in ROP from baseline to one year after the intervention. Change in ROP was examined using a piecewise change model where two linear slopes were modeled. The first slope estimated the change from baseline to T1, or the initial change after the intervention while the second slope estimated the change from T1 to T3, or the secondary change. Parameter estimates obtained from MLM and LGM for a model using the error covariance structure commonly assumed in MLM (i.e., random slopes, homogeneous level-1 variance) were nearly identical. Models with various alternative covariance structures (commonly associated with the LGM framework) were examined, and results were nearly identical. Most of the model fit information was in agreement regarding the best fitting model being the model that assumed the typical MLM error covariance structure with the exception of the standardized root mean square residual (SRMR) fit index. The results from the models demonstrated that ROP increased after participating in the first year of the intervention and this level was sustained, though did not increase significantly in subsequent years. There was more variation in ROP at baseline. This information tells us that the intervention was successful in that after participating in the intervention the teachers' used ROP more frequently. The success of the intervention did not depend on any of the predictors that we assessed, and, as a group, the teachers became more similar in their use of reform-oriented practices over time.

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Holmborn, Towe. „Zooplankton growth and trophic linkages : Implications for fish feeding conditions in the Baltic Sea“. Doctoral thesis, Stockholms universitet, Systemekologiska institutionen, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-29485.

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The aim of this Thesis was to improve our understanding and assessment of feeding conditions for zooplanktivorous fish in the Baltic Sea. We investigated (papers I, II) the usefulness of biochemical proxies for assessments of growth and metabolic rates in the dominant Baltic copepod Acartia bifilosa. A predictive model (paper I) for egg production rate (EPR), based on body size, RNA content, and water temperature, was established using females of different geographical origin. This model demonstrates the usefulness of RNA content as a proxy for growth in zooplankton and, together with abundance data, it could be used to evaluate fish feeding conditions. Further (paper II), using A. bifilosa exposed to a food gradient, we evaluated responses of physiological rates and other biochemical proxies for growth and established correlations between physiological and biochemical variables. EPR and ingestion rate were most significantly correlated with RNA content. As assayed variables saturated at different food concentrations, food availability may affect assessments of physiological rates using proxies. In paper III, we explored the effect of high EPR and ingestion rate on astaxanthin content in A. bifilosa. We found that the astaxanthin content decreased at high feeding rates, most likely due to decreased assimilation efficiency. This may impact the quality of zooplankton as prey. The invasion of Cercopagis pengoi, a zooplanktivorous cladoceran, has altered the trophic linkages in the Baltic Sea food web. In paper IV, we evaluated the feeding of zooplanktivorous fish on C. pengoi and found that irrespective of size both herring and sprat feed on it, with large herring being more selective. In turn, C. pengoi feeds mainly on older copepods (paper V), which are acknowledged important in fish nutrition. These results indicate that C. pengoi may compete with fish due to the diet overlap.

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: In progress. Paper 3: Submitted

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Bücher zum Thema "Growth indices"

H, Beaton George, und United Nations. Administrative Committee on Co-ordination. Sub-committee on Nutrition., Hrsg. Appropriate uses of anthropometric indices in children: A report based on an ACC/SCN Workshop. [Geneva, Switzerland]: United Nations, Administrative Committee on Coordination/Subcommittee on Nutrition, 1990.

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Amin, M. S. The importance of constructing quality-constant economic indices for the measurement of economic growth. Manchester: UMIST, 1997.

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1944-, Fortin Gilles, und Hôpital Sainte-Justine, Hrsg. Croissance et développement, indices d'abus et de négligence chez l'enfant de la naissance à cinq ans. Montréal: Hôpital Sainte-Justine, 1999.

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Sengupta, Jati. India's Economic Growth. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230505322.

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Ghose, Ajit Kumar. India's services-led growth. New Delhi: Institute for Human Development, 2014.

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1934-, Bhagwati Jagdish N., und Calomiris Charles W, Hrsg. Sustaining India's growth miracle. New York: Columbia Business School, 2008.

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Associated Chambers of Commerce & Industry of India. Annual Banking Summit. Banking India's growth story. New Delhi: ASSOCHAM, 2012.

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1934-, Bhagwati Jagdish N., und Calomiris Charles W, Hrsg. Sustaining India's growth miracle. New York: Columbia Business School, 2008.

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1934-, Bhagwati Jagdish N., und Calomiris Charles W, Hrsg. Sustaining India's growth miracle. New York: Columbia Business School, 2008.

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India, Export-Import Bank of, Hrsg. Exports in India's growth process. [India]: Quest Publications, 1999.

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Buchteile zum Thema "Growth indices"

Mandal, Dipankar, Avik Bhattacharya und Yalamanchili Subrahmanyeswara Rao. „Radar Vegetation Indices for Crop Growth Monitoring“. In Radar Remote Sensing for Crop Biophysical Parameter Estimation, 177–228. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4424-5_7.

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Akkas, Erhan, und Suleyman Orhun Altiparmak. „Innovation, Technology Transfer, and Endogenous Growth in the GCC Countries“. In Gulf Studies, 397–413. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7796-1_24.

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AbstractThis chapter investigates the economic changes of the GCC countries within the framework of the nature of economic diversification by analyzing innovation performance indices, economic freedom indices, and doing business indicators. This paper shows that the GCC states’ economic strategies are still limited in their ability to affect economic performance so that their economies are still heavily dependent on natural resources. Thus, this study stresses the need for GCC countries to develop technology- and innovation-based private sectors aside from hydrocarbons in accordance with the endogenous growth theory. This research recommends that each GCC state should support investments in the private sector, which can contribute to the development of innovation and technology.

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Moreno Macías, Lidia, Mayra Arias Gastélum und Javier Magaña Gómez. „Anthropometric Indices to Evaluate Nutritional Status and Health Risk of Schoolchildren and Adolescents“. In Human Growth and Nutrition in Latin American and Caribbean Countries, 161–82. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27848-8_7.

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Gumata, Nombulelo, und Eliphas Ndou. „The Impact of on the South African Economy: Evidence from the Structural Change Indices“. In Accelerated Land Reform, Mining, Growth, Unemployment and Inequality in South Africa, 185–202. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30884-1_9.

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Ige, P. O., und O. O. Komolafe. „Assessment of Tree Growth Competition Indices for Biodiversity Conservation in IITA Forest Ibadan, Nigeria“. In Springer Climate, 197–215. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21007-5_11.

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Molaei Qelichi, Mohamad, Beniamino Murgante, Rahmatollah Farhoudi, Saeed Zanganeh Shahraki, Keramatollah Ziari und Ahmad Pourahmad. „Analyzing Effective Factors on Urban Growth Management Focusing on Remote Sensing Indices in Karaj, Iran“. In Computational Science and Its Applications – ICCSA 2017, 469–84. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62401-3_34.

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Abasubong, Kenneth Prudence, Ndakalimwe Naftal Gabriel, Jean-Jacques Yao Adjoumani, Aniefiokmkpong Okokon Okon, Mfon T. Udo, Abia Alice Etim und Hesham E. Desouky. „A Dynamic Study of the influence of Jatropha curcas on Growth and Haematological Indices in Finfish“. In Emerging Sustainable Aquaculture Innovations in Africa, 301–23. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7451-9_12.

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Sengupta, Jati. „Growth Synergy in India: a Challenge“. In India's Economic Growth, 1–38. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230505322_1.

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Sengupta, Jati. „Lessons of Growth Experience“. In India's Economic Growth, 39–74. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230505322_2.

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Sengupta, Jati. „Learning from Growth Theory“. In India's Economic Growth, 75–96. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230505322_3.

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Konferenzberichte zum Thema "Growth indices"

Kim, Yihyun, Sukyoung Hong, Kyoungdo Lee, Thomas Jackson, Rajat Bindlish, Gunho Jung, Soyeong Jang und And Sangil Na. „Estimating wheat growth for radar vegetation indices“. In IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2013. http://dx.doi.org/10.1109/igarss.2013.6723512.

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Bhadra, Jeenia, und Tapan Kumar Chattopadhyay. „Analysis of distribution network by reliability indices“. In 2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE). IEEE, 2015. http://dx.doi.org/10.1109/epetsg.2015.7510094.

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Yeom, Junho, Jinha Jung, Anjin Chang, Murilo Maeda und Juan Landivar. „Cotton growth modeling using unmanned aerial vehicle vegetation indices“. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8128138.

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Li, Xumeng, Xiaohui Wang, Yulin Peng und Tao Li. „How to describe plant architecture? Definition of quantitative indices and applicationto rice plants“. In 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA). IEEE, 2016. http://dx.doi.org/10.1109/fspma.2016.7818297.

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Sasaki, Takatomo, Akio Miyamoto, Sadao Nakai und Atsushi Yokotani. „Non-uniformity of the Phase Matching Angle in Flux Grown KTP Crystal“. In Compact Blue-Green Lasers. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/cbgl.1993.jwc.5.

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We grew KTP crystals of which size is over 8.5 cm in the c-axis from flux, and measured distribution of refractive indices which affects on the phase matching angle in the grown crystal. As a result, we have found that the phase matching angle in the crystal changed considerably corresponding to the change in the refractive indices. As the refractive indices of KTP crystal grown by flux change due to the growth condition, it seems to be difficult to determine the phase matching angle precisely.

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Kalmatskaya, Olesya А., Vladimir A. Karavaev, Anatoly A. Cherenkov und Lyudmila E. Gunar. „Luminescent and physiological indices of potato after the treatment of tubers with growth regulators“. In Saratov Fall Meeting 2020: Optical and Nano-Technologies for Biology and Medicine, herausgegeben von Valery V. Tuchin und Elina A. Genina. SPIE, 2021. http://dx.doi.org/10.1117/12.2590846.

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Zhang, Ziwei. „Model Fit Indices for Random Effects Models: Translating Model Fit From Latent Growth Curve Models“. In 2023 AERA Annual Meeting. Washington DC: AERA, 2023. http://dx.doi.org/10.3102/2005206.

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Podolyan, A. O., M. A. Breygina und N. M. Maksimov. „The effect of various ROS on the growth indices and membrane potential of lily pollen tubes (Lilium longiflorum)“. In IX Congress of society physiologists of plants of Russia "Plant physiology is the basis for creating plants of the future". Kazan University Press, 2019. http://dx.doi.org/10.26907/978-5-00130-204-9-2019-356.

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Novac, Alexandra. „Principalele tendințe în demografia întreprinderilor în Republica Moldova“. In International Scientific-Practical Conference "Economic growth in the conditions of globalization". National Institute for Economic Research, 2023. http://dx.doi.org/10.36004/nier.cecg.i.2023.17.9.

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Business demography allows the performance of businesses in the economy to be measured. Understanding the processes and dynamics underlying the creation, survival, and death of businesses can provide important insight into business behavior, and the mechanisms for generating new jobs and ensuring better economic development at national and regional levels. The analysis of the enterprises’ birth and death events provides the necessary information on the challenges faced by enterprises and implicitly represents a basis for entrepreneurship development. The purpose of the undertaken research is to analyze the available indicators of the enterprises’ demography in the Republic of Moldova for the period 2016-2020 at the national and regional levels. Research techniques are based on secondary data analysis, comparison, grouping, chain indices, dynamic series, and figures. The results indicate a negative dynamic of the population of enterprises in recent years, with an average death rate of enterprises, which exceeds the birth enterprises rate.

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Owusu-Acheampong, David, und Chigozie Nweke-Eze. „Economic Growth, Population Dynamics and Electricity Consumption in Ghana“. In Africa International Conference on Clean Energy and Energy Storage. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-lhocq1.

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This research employs a multiple linear regression analysis to explore the relation-ships between economic and population dynamics and electricity consumption within Ghana. From the multiple linear regression analysis, we deduced coefficients and p-values for the independent variables, highlighting significant predictors. While some variables lack statistical significance, those that are significant yield insights into resource allocation. Notably, economic growth indices demonstrate a meaningful relationship with electricity consumption, while Population provides valuable yet less statistically significant in-sights. In conclusion, this research’s multiple linear regression analysis furnishes actionable insights for energy resource allocation in Ghana. Understanding the complex interplay between economic growth, population changes, and electricity consumption empowers stakeholders to make informed decisions that bolster energy security, sustainability, and economic growth. Though illuminating, this study acknowledges certain limitations and calls for further research to refine our comprehension and inform comprehensive energy strategies.

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Berichte der Organisationen zum Thema "Growth indices"

Amburgey, Aaron, und Michael W. McCracken. On the Real-Time Predictive Content of Financial Conditions Indices for Growth. Federal Reserve Bank of St. Louis, 2022. http://dx.doi.org/10.20955/wp.2022.003.

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Seddon Wallack, Jessica, Alejandro Gaviria, Ugo Panizza und Ernesto H. Stein. Political Institutions and Growth Collapses. Inter-American Development Bank, Mai 2000. http://dx.doi.org/10.18235/0010779.

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This paper tests whether Rodrik's (1999) results that institutions for conflict management are associated with the ability to react to economic shocks are robust to different ways of defining the quality of such institutions. We measure the quality of conflict management institutions with two different indices. The first is an index of political constraints on the ability of the executive to impose its will. These constraints limit the ability of the government to arbitrarily change the rules of the game and therefore may reduce redistributive struggles. The second index measures the degree of political particularism. We define political particularism as the policymakers' ability to further their career by catering to narrow interests rather than broader national platforms. The indices used in this paper solve the endogeneity and subjectivity biases that affect Rodrik's measure of institutional quality. We find strong support for the idea that high levels of political constraints and intermediate levels of political particularism are associated with a quick recovery from economic shocks.

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Adams, Brian, Lara P. Loewenstein, Hugh Montag und Randal J. Verbrugge. Disentangling Rent Index Differences: Data, Methods, and Scope. Federal Reserve Bank of Cleveland, Dezember 2022. http://dx.doi.org/10.26509/frbc-wp-202238.

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Prominent rent growth indices often give strikingly different measurements of rent inflation. We create new indices from Bureau of Labor Statistics (BLS) rent microdata using a repeat-rent index methodology and show that this discrepancy is almost entirely explained by differences in rent growth for new tenants relative to the average rent growth for all tenants. Rent inflation for new tenants leads the official BLS rent inflation by four quarters. As rent is the largest component of the consumer price index, this has implications for our understanding of aggregate inflation dynamics and guiding monetary policy. File is available with NTRR and ATRR indices through 2022q3.

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Pradelli, Juan Jose, Camillo Gomez Osorio, Kimberly Waithe, Inder J. Ruprah, Onoh-Obasi Okey, Allan Wright, Dillon Clarke et al. Caribbean Region Quarterly Bulletin: Volume 5, Issue 3: September 2016. Inter-American Development Bank, September 2016. http://dx.doi.org/10.18235/0008142.

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British voters surprised the world when they voted to leave the European Union in June 2016. Markets reacted heavily to the surprise, resulting in high volatility in all major stock indices as well as bond and foreign exchange markets. Many observers predicted a dire impact on the UK, EU and world economy. Anxiety also rose in the Caribbean. Around three months into the vote, markets have calmed down. Stock and bond indices are back to levels similar or higher than before the vote, although there are signs of an economic slowdown in the UK. In exploring the economic impact of the leave vote, we find that Brexit and the subsequent slow-down in economic growth will have only a marginal impact on the Caribbean's economic growth, tourism, remittances and exports, during 2016 and 2017. As usual, the Quarterly Bulletin also provides an overview of recent economic developments in the Caribbean.

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Burbano Figueroa, Oscar, Milena Moreno Moran, Lorena Osorio Almanza, Karen Montes Mercado, Enrique Vergara, Maria Del Valle Rodriguez Pinto, Keyra Salazar und Everto Mosquera. Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis. Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, 2016. http://dx.doi.org/10.21930/agrosavia.informe.2016.2.

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Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis Abstract Cotton growing regions in South America are affected by Colletotrichum gossypii var. cephalosporioides (Cgc). The most severe epidemics provokes considerable yield reductions linked to meristem necrosis, oversprouting, excessive branching and stunting (Figure 1). The Sinu Valley is a major cotton producer in Colombia and is heavily affected by this disease. Rainfall was identified as the main driver of ramulosis development in the Sinu Valley prevailing in crops planted at the beginning of the main rainy season (Figure 2). Fifty five advanced breeding lines (ABLs) were assessed by ramulosis field resistance. Nine ABLs exhibited high levels of partial resistance (< 10% of plants exhibiting oversprouting). With the aim to optimize disease assessing accuracy and breeding efforts for ramulosis resistance, we had evaluated the use of red-green-blue (RGB) based indices for automated assessment of ramulosis disease. Eleven cultivars exhibiting contrasting level of ramulosis resistance were grown and photographed at different phenological stages. RGB indices extracted by Breedpix software from these plot images were compared with visual assessment of plant disease severity. The RGB indices Hue, Saturation, b, and v measured ten weeks after planting (boll opening) were correlated with accumulated disease severity and oversprouting (estimated as the area under the disease progress stairs). Oversprouting exhibited the higher correlation coefficients (r = 0.60,-0.65,-0.65,-0.60 and 0.54, P < 0.001). Additionally, destructive sampling across phenological development showed that green area (GA) has a positive correlation with total fresh biomass, leaf area index, leaf fresh biomass and green cover (GC) (r = 0.65, 0.60, 0.70 and 0.95, P < 0.001). RGB-based indices are appropriate predictors of cotton growth and ramulosis severity and a cost effective tool for cotton phenotyping based on automation of RGB-images assessment and affordable cost of RGB-cameras

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Wideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche und William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, Dezember 2000. http://dx.doi.org/10.32747/2000.7575287.bard.

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Background PHS (pulmonary hypertension syndrome, ascites syndrome) is a serious cause of loss in the broiler industry, and is a prime example of an undesirable side effect of successful genetic development that may be deleteriously manifested by factors in the environment of growing broilers. Basically, continuous and pinpointed selection for rapid growth in broilers has led to higher oxygen demand and consequently to more frequent manifestation of an inherent potential cardiopulmonary incapability to sufficiently oxygenate the arterial blood. The multifaceted causes and modifiers of PHS make research into finding solutions to the syndrome a complex and multi threaded challenge. This research used several directions to better understand the development of PHS and to probe possible means of achieving a goal of monitoring and increasing resistance to the syndrome. Research Objectives (1) To evaluate the growth dynamics of individuals within breeding stocks and their correlation with individual susceptibility or resistance to PHS; (2) To compile data on diagnostic indices found in this work to be predictive for PHS, during exposure to experimental protocols known to trigger PHS; (3) To conduct detailed physiological evaluations of cardiopulmonary function in broilers; (4) To compile data on growth dynamics and other diagnostic indices in existing lines selected for susceptibility or resistance to PHS; (5) To integrate growth dynamics and other diagnostic data within appropriate statistical procedures to provide geneticists with predictive indices that characterize resistance or susceptibility to PHS. Revisions In the first year, the US team acquired the costly Peckode weigh platform / individual bird I.D. system that was to provide the continuous (several times each day), automated weighing of birds, for a comprehensive monitoring of growth dynamics. However, data generated were found to be inaccurate and irreproducible, so making its use implausible. Henceforth, weighing was manual, this highly labor intensive work precluding some of the original objectives of using such a strategy of growth dynamics in selection procedures involving thousands of birds. Major conclusions, solutions, achievements 1. Healthy broilers were found to have greater oscillations in growth velocity and acceleration than PHS susceptible birds. This proved the scientific validity of our original hypothesis that such differences occur. 2. Growth rate in the first week is higher in PHS-susceptible than in PHS-resistant chicks. Artificial neural network accurately distinguished differences between the two groups based on growth patterns in this period. 3. In the US, the unilateral pulmonary occlusion technique was used in collaboration with a major broiler breeding company to create a commercial broiler line that is highly resistant to PHS induced by fast growth and low ambient temperatures. 4. In Israel, lines were obtained by genetic selection on PHS mortality after cold exposure in a dam-line population comprising of 85 sire families. The wide range of PHS incidence per family (0-50%), high heritability (about 0.6), and the results in cold challenged progeny, suggested a highly effective and relatively easy means for selection for PHS resistance 5. The best minimally-invasive diagnostic indices for prediction of PHS resistance were found to be oximetry, hematocrit values, heart rate and electrocardiographic (ECG) lead II waves. Some differences in results were found between the US and Israeli teams, probably reflecting genetic differences in the broiler strains used in the two countries. For instance the US team found the S wave amplitude to predict PHS susceptibility well, whereas the Israeli team found the P wave amplitude to be a better valid predictor. 6. Comprehensive physiological studies further increased knowledge on the development of PHS cardiopulmonary characteristics of pre-ascitic birds, pulmonary arterial wedge pressures, hypotension/kidney response, pulmonary hemodynamic responses to vasoactive mediators were all examined in depth. Implications, scientific and agricultural Substantial progress has been made in understanding the genetic and environmental factors involved in PHS, and their interaction. The two teams each successfully developed different selection programs, by surgical means and by divergent selection under cold challenge. Monitoring of the progress and success of the programs was done be using the in-depth estimations that this research engendered on the reliability and value of non-invasive predictive parameters. These findings helped corroborate the validity of practical means to improve PHT resistance by research-based programs of selection.

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Dhar, Biswajit. India’s GDP growth masks economic challenges. East Asia Forum, März 2024. http://dx.doi.org/10.59425/eabc.1709373600.

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Hogan, Michael, und Michael Gallaher. Quantitative Indicators for Country-Level Innovation Ecosystems. RTI Press, Mai 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0051.1805.

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Innovation has been shown to be a key factor in determining a country’s competitiveness and economic growth potential. Through investments in education and research and development, many developing countries have tried to avoid the “middle income trap” of stagnation by working to create high-value employment opportunities. To better understand country-level readiness to innovate, we have compiled a set of publicly available data indicators and created a data tool to illustrate innovation capabilities and infrastructure by country. Our approach builds on and advances existing national innovation metrics by constructing transparent, publicly sourced indicators that emphasize changes over time and interrelationships between different indicators, as opposed to creating simple indices across groups of indicators. This occasional paper is targeted to an applied audience, explaining the methods used to assemble the data, an overview of the indicators, practical applications of the data, summary statistics, and data limitations. The data are not intended to be a tool for providing answers about innovation, but rather a starting point for future work including market landscaping, country-level diagnostics, and qualitative protocols for research.

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Eichengreen, Barry, und Poonam Gupta. The Service Sector as India's Road to Economic Growth. Cambridge, MA: National Bureau of Economic Research, Februar 2011. http://dx.doi.org/10.3386/w16757.

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Nimesh, Vikas, Md Saddam Hussain, Anmol Jain und Pramod Kumar Singh. Skill development and Inclusive Growth opportunity in India's EV sector. Alliance for an Energy Efficient Economy (AEEE), März 2024. http://dx.doi.org/10.62576/ahsg6426.

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The report titled “Skill Development and Inclusive Growth Opportunity in India’s EV Sector” by the Alliance for an Energy Efficient Economy (AEEE) is a comprehensive examination aimed at mapping the skill requirements necessary to support India’s burgeoning Electric Vehicle (EV) sector. It emphasizes the significance of transitioning to electric mobility and the pivotal role of a skilled workforce in realizing this vision, especially by including marginalized communities and women. The document outlines the present state of the EV ecosystem, delineates specific skill sets needed across various roles, and proposes strategies for inclusive skill development. Through detailed case studies and policy recommendations, the report addresses the socio-economic aspects of the EV industry, aiming to foster sustainable growth. It serves as a vital resource for stakeholders in the EV domain, outlining pathways for skill enhancement and inclusive growth in alignment with India’s electric mobility ambitions.

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