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Автор: Grafiati
Опубліковано: 8 вересня 2023

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Статті в журналах з теми "Two stage selection"

1

Yevseyeva, Iryna, Vitor Basto Fernandes, Aad van Moorsel, Helge Janicke, and Michael Emmerich. "Two-stage Security Controls Selection." Procedia Computer Science 100 (2016): 971–78. http://dx.doi.org/10.1016/j.procs.2016.09.261.

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2

Xu, Ke, Crystal Maung, Hiromasa Arai, and Haim Schweitzer. "Two-Stage Feature Selection with Unsupervised Second Stage." International Journal on Artificial Intelligence Tools 27, no. 07 (November 2018): 1860014. http://dx.doi.org/10.1142/s021821301860014x.

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Анотація:
Feature selection is a common dimensionality reduction technique of fundamental importance in big data. A common approach for reducing the running time of feature selection is to perform it in two stages. In the first stage a fast and simple filter is applied to select good candidates. The number of candidates is further reduced in the second stage by an accurate algorithm that may run significantly slower. There are two main variants of feature selection: unsupervised and supervised. In the supervised variant features are selected for predicting labels, while the unsupervised variant does not use labels at all. We describe a general framework that can use an arbitrary off-the-shelf unsupervised algorithm for the second stage. The algorithm is applied to the selection obtained in the first stage weighted appropriately. Our main technical result is a method for calculating weights for the columns that need to be selected in the second stage. We show that these weights can be computed as the solution to a constrained quadratic optimization problem. The solution is deterministic, and improves on previously published studies that use probabilistic ideas to compute similar weights. To the best of our knowledge our approach is the first technique for converting a supervised feature selection problem into an unsupervised problem. Complexity analysis shows that the proposed technique is very fast, can be implemented in a single pass over the data, and can take advantage of data sparsity. Experimental results show that the accuracy of the proposed method is comparable to that of much slower techniques.
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3

HATTORI, Tetsuya, and Hironari MIYAZAWA. "ACCURACY OF TWO-STAGE SELECTION METHOD." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 19, no. 2 (1992): 14–23. http://dx.doi.org/10.2333/jbhmk.19.2_14.

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4

Lam, K. "An improved two-stage selection procedure." Communications in Statistics - Simulation and Computation 17, no. 3 (January 1988): 995–1006. http://dx.doi.org/10.1080/03610918808812708.

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5

Sudbury, Aidan. "Two-stage testing using selection schemes." Statistics in Medicine 29, no. 21 (August 26, 2010): 2194–99. http://dx.doi.org/10.1002/sim.3965.

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6

Taboga, Marco. "Portfolio selection with two-stage preferences." Finance Research Letters 2, no. 3 (September 2005): 152–64. http://dx.doi.org/10.1016/j.frl.2005.06.003.

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7

Bécu, Jean-Michel, Yves Grandvalet, Christophe Ambroise, and Cyril Dalmasso. "Beyond support in two-stage variable selection." Statistics and Computing 27, no. 1 (November 20, 2015): 169–79. http://dx.doi.org/10.1007/s11222-015-9614-1.

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8

Jack Chen, E. "A revisit of two-stage selection procedures." European Journal of Operational Research 210, no. 2 (April 2011): 281–86. http://dx.doi.org/10.1016/j.ejor.2010.08.033.

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9

Simmonds, N. W. "Two-stage selection strategy in plant breeding." Heredity 55, no. 3 (December 1985): 393–99. http://dx.doi.org/10.1038/hdy.1985.123.

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10

Kasperski, Adam, and Paweł Zieliński. "Robust recoverable and two-stage selection problems." Discrete Applied Mathematics 233 (December 2017): 52–64. http://dx.doi.org/10.1016/j.dam.2017.08.014.

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Дисертації з теми "Two stage selection"

1

Yousef, Mohammed A. "Two-Stage SCAD Lasso for Linear Mixed Model Selection." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

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2

Sands, John Stephen, and n/a. "Auditor Switching - A Two-Stage Decision Process: An Empirical Study of Australian Companies." Griffith University. Department of Accounting, Finance and Economics, 1996. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050901.152229.

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Анотація:
This dissertation is concerned with a primary and two secondary research issues. The primary issue pertains to the existence of a two-stage auditor switching decision process; that is the auditor change and the auditor selection stages. The two secondary issues concern the relative influence of variables within their respective decision stages. External auditors are engaged not only to comply with the Corporations Law requirement and Australian Stock Exchange membership conditions but also to reduce the degree of information risk assigned by financial statement users to financial statements prepared by auditee management. The decision to switch auditors may cause financial statement users to assign a higher degree of information risk to financial statements, i.e., the indirect costs of switching auditors. A substantial increase in these indirect costs may have occurred as the average rate that Australian publicly listed companies switch auditor has increased in recent years. However, prior research has provided inconsistent and inconclusive evidence with regard to the variables that influence auditees to switch auditors. To avoid mis-perceptions by financial statement users about the newly appointed auditors' attestation of the financial information prepared by auditees, a greater understanding is needed of the auditor switching decision process to assist in mitigating these indirect costs of switching auditors. In prior research the underlying suggestion why auditees switch auditors is the development of a mis-match of audit services demanded to the services supplied by the incumbent auditor. To overcome this mis-match, auditees after deciding to change auditors then select a specific audit firm that offers suitable services and possesses suitable characteristics. A suggested reason for the inconsistent findings of prior research is that there are two decision stages (auditor change and auditor selection) in the auditor switching decision process and past studies have examined, intentionally or otherwise, different decision stages. From a two decision stage perspective, there are three additional explanations for the inconsistent findings of prior research. These explanations are 1) the inappropriate use of surrogate measures for the decision stage studied, 2) the misuse of the terms auditor change, auditor selection and auditor switching, and 3) the inappropriate research methodology and instrument design employed. This absence of a 'shared agreement' among researchers about the two-stage auditor switching decision concept and misuse of terms may have confused not only researchers but also survey participants and readers of auditor switching literature thus contributing to the inconsistencies in prior evidence as well as perpetuating the inconsistent results where the readers are the future researchers. A review of the literature identified five characteristic variables of the incumbent and replacement audit firms that influence the auditor switching decision. Four variables (disagreements between auditees and auditors that result in, or are caused by, the issuance of a qualified audit report and recommendations from three external sources) in addition to the five incumbent auditor characteristics were found to influence only the auditor change decision. In addition to the five replacement auditor characteristic variables, a further five variables, involving audit firm image creation or other promotional activities, have been found to influence the auditor selection decision stage. A primary and two secondary problems regarding the auditor switching decision process are addressed (1) How and to what extent does the impact of the five auditor characteristics on Australian auditees' decisions to change auditors (to terminate the incumbent auditor's appointment) differ from that on auditees' decisions to select the replacement auditor? (2) How and to what extent are the nine variables used by Australian auditee management in the decision to change auditors (to terminate the incumbent auditors appointment)? (3) How and to what extent are the ten variables used by Australian auditee management in the decision to select a replacement auditor? The provision of evidence to support the two-stage auditor switching decision process may be achieved by jointly examining and identifying significant differences in the perceived influence of auditor characteristics across the two decision stages and a comparison of their rank order of influence within each stage. Three empirical models are constructed to investigate these three research questions. Using the MANOVA (within-subjects) design, the first model is to analyse each respondent's perception of the level of influence of each of the five auditor characteristic variables across the two decision stages. The second and third empirical models are using an one-way ANOVA design to test the influence of each of the respective independent variables (i.e., nine variables for the change decision and ten variables for the selection decision) on the respective dependent variable (i.e., the change decision or the selection decision). Fifty-three usable responses were received from Australian companies identified as voluntarily switching auditors for the reporting year ended 1990 and/or 1991. The data collected for analysis were provided by company executives of these companies. The major findings of this study are: 1) Two of the five auditor characteristics, 'level of audit quality' and 'suitability of non-audit services', differed significantly in their level of relative influence across the two decision stages. Furthermore, there was some support in the results for a perceived difference in the influence of a third auditor characteristic, 'size of audit fees', across both stages. 2) Significant differences were perceived in the level of influence of variables on the auditor change decision stage. The six most influential variables were the higher audit fees, the auditor's offices were not located near the auditee's geographically dispersed offices, the incumbent auditor's lack of industry specialisation, a higher audit quality was not provided, the non-audit services offered were unsuitable, and director's recommendations. 3) In the auditor selection decision stage, significant differences were perceived in the level of influence of variables. The six most influential variables were the lower fees, the recommendations of business colleagues, a higher quality audit can be provided, the suitability of range of non-audit services, the closeness of the auditor's offices to the auditee's geographically dispersed operations, and the availability of industry specialisation. 4) A comparison of the rank order of influence of auditor characteristic variables within each decision stage found variances exist for two variables 'closeness of auditor's offices to the auditee's operations' and 'the level of industry specialisation' across the two stages. 5) The significant difference in the level of influence of characteristics of the incumbent and replacement auditors in the first finding suggests that auditors are not perceived as providing homogeneous services. Furthermore, from the significant difference in these auditor characteristic variables within each decision stage in the second and third findings imply that the auditor characteristics of an auditor are not perceived as homogeneous. The following major conclusions are drawn from this study. The evidence from these major findings support the existence of a two-stage auditor switching decision process. The results also show that auditor switching decision makers' perceptions of the variables that influence auditor switching vary across the two decision stages and with the auditor change and auditor selection decisions. Finally, because the characteristics of the auditors vary in their perceived influence across both stages and within each decision stage, these variances suggest the auditor characteristics supplied are perceived to be heterogeneous. This perceived heterogeneity permits audit firms to differentiate their services offered and requires auditees to employ a two-stage auditor switching decision process.
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3

Sands, John Stephen. "Auditor Switching - A Two-Stage Decision Process: An Empirical Study of Australian Companies." Thesis, Griffith University, 1996. http://hdl.handle.net/10072/366910.

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Анотація:
This dissertation is concerned with a primary and two secondary research issues. The primary issue pertains to the existence of a two-stage auditor switching decision process; that is the auditor change and the auditor selection stages. The two secondary issues concern the relative influence of variables within their respective decision stages. External auditors are engaged not only to comply with the Corporations Law requirement and Australian Stock Exchange membership conditions but also to reduce the degree of information risk assigned by financial statement users to financial statements prepared by auditee management. The decision to switch auditors may cause financial statement users to assign a higher degree of information risk to financial statements, i.e., the indirect costs of switching auditors. A substantial increase in these indirect costs may have occurred as the average rate that Australian publicly listed companies switch auditor has increased in recent years. However, prior research has provided inconsistent and inconclusive evidence with regard to the variables that influence auditees to switch auditors. To avoid mis-perceptions by financial statement users about the newly appointed auditors' attestation of the financial information prepared by auditees, a greater understanding is needed of the auditor switching decision process to assist in mitigating these indirect costs of switching auditors. In prior research the underlying suggestion why auditees switch auditors is the development of a mis-match of audit services demanded to the services supplied by the incumbent auditor. To overcome this mis-match, auditees after deciding to change auditors then select a specific audit firm that offers suitable services and possesses suitable characteristics. A suggested reason for the inconsistent findings of prior research is that there are two decision stages (auditor change and auditor selection) in the auditor switching decision process and past studies have examined, intentionally or otherwise, different decision stages. From a two decision stage perspective, there are three additional explanations for the inconsistent findings of prior research. These explanations are 1) the inappropriate use of surrogate measures for the decision stage studied, 2) the misuse of the terms auditor change, auditor selection and auditor switching, and 3) the inappropriate research methodology and instrument design employed. This absence of a 'shared agreement' among researchers about the two-stage auditor switching decision concept and misuse of terms may have confused not only researchers but also survey participants and readers of auditor switching literature thus contributing to the inconsistencies in prior evidence as well as perpetuating the inconsistent results where the readers are the future researchers. A review of the literature identified five characteristic variables of the incumbent and replacement audit firms that influence the auditor switching decision. Four variables (disagreements between auditees and auditors that result in, or are caused by, the issuance of a qualified audit report and recommendations from three external sources) in addition to the five incumbent auditor characteristics were found to influence only the auditor change decision. In addition to the five replacement auditor characteristic variables, a further five variables, involving audit firm image creation or other promotional activities, have been found to influence the auditor selection decision stage. A primary and two secondary problems regarding the auditor switching decision process are addressed (1) How and to what extent does the impact of the five auditor characteristics on Australian auditees' decisions to change auditors (to terminate the incumbent auditor's appointment) differ from that on auditees' decisions to select the replacement auditor? (2) How and to what extent are the nine variables used by Australian auditee management in the decision to change auditors (to terminate the incumbent auditors appointment)? (3) How and to what extent are the ten variables used by Australian auditee management in the decision to select a replacement auditor? The provision of evidence to support the two-stage auditor switching decision process may be achieved by jointly examining and identifying significant differences in the perceived influence of auditor characteristics across the two decision stages and a comparison of their rank order of influence within each stage. Three empirical models are constructed to investigate these three research questions. Using the MANOVA (within-subjects) design, the first model is to analyse each respondent's perception of the level of influence of each of the five auditor characteristic variables across the two decision stages. The second and third empirical models are using an one-way ANOVA design to test the influence of each of the respective independent variables (i.e., nine variables for the change decision and ten variables for the selection decision) on the respective dependent variable (i.e., the change decision or the selection decision). Fifty-three usable responses were received from Australian companies identified as voluntarily switching auditors for the reporting year ended 1990 and/or 1991. The data collected for analysis were provided by company executives of these companies. The major findings of this study are: 1) Two of the five auditor characteristics, 'level of audit quality' and 'suitability of non-audit services', differed significantly in their level of relative influence across the two decision stages. Furthermore, there was some support in the results for a perceived difference in the influence of a third auditor characteristic, 'size of audit fees', across both stages. 2) Significant differences were perceived in the level of influence of variables on the auditor change decision stage. The six most influential variables were the higher audit fees, the auditor's offices were not located near the auditee's geographically dispersed offices, the incumbent auditor's lack of industry specialisation, a higher audit quality was not provided, the non-audit services offered were unsuitable, and director's recommendations. 3) In the auditor selection decision stage, significant differences were perceived in the level of influence of variables. The six most influential variables were the lower fees, the recommendations of business colleagues, a higher quality audit can be provided, the suitability of range of non-audit services, the closeness of the auditor's offices to the auditee's geographically dispersed operations, and the availability of industry specialisation. 4) A comparison of the rank order of influence of auditor characteristic variables within each decision stage found variances exist for two variables 'closeness of auditor's offices to the auditee's operations' and 'the level of industry specialisation' across the two stages. 5) The significant difference in the level of influence of characteristics of the incumbent and replacement auditors in the first finding suggests that auditors are not perceived as providing homogeneous services. Furthermore, from the significant difference in these auditor characteristic variables within each decision stage in the second and third findings imply that the auditor characteristics of an auditor are not perceived as homogeneous. The following major conclusions are drawn from this study. The evidence from these major findings support the existence of a two-stage auditor switching decision process. The results also show that auditor switching decision makers' perceptions of the variables that influence auditor switching vary across the two decision stages and with the auditor change and auditor selection decisions. Finally, because the characteristics of the auditors vary in their perceived influence across both stages and within each decision stage, these variances suggest the auditor characteristics supplied are perceived to be heterogeneous. This perceived heterogeneity permits audit firms to differentiate their services offered and requires auditees to employ a two-stage auditor switching decision process.
Thesis (Masters)
Master of Philosophy (MPhil)
Department of Accounting, Finance and Economics
Griffith Business School
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4

Choi, Jin-Young. "Two-stage Semiparametric Estimators for Limited Dependent Variables and its Applications." Thesis, Boston College, 2014. http://hdl.handle.net/2345/bc-ir:103547.

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Thesis advisor: Arthur Lewbel
This thesis proposes two semiparametric estimators; one for heavily censored panel models and another one for binary-outcome sample selection models. The first chapter proposes a new panel data estimator, and applies it to investigate whether the key assumption underlying most twin studies is valid. Roughly, the assumption is that differences in twins' outcomes can on average be attributed to differences in observed treatments, possibly after conditioning on observable covariates. The empirical results here cast doubt on this assumption, by showing that a particular outcome, survival, varies by birth order, even after conditioning on health-at-birth characteristics. The proposed panel data estimator is the first one in the literature that simultaneously handles having an unknown error distribution, fixed effects, fixed T, fixed censoring point, and heavy (greater than 50%) censoring. These features are all required to adequately deal with the limitations of available census data on twins. The proposed estimator also allows for coefficients that vary by t, and for a censoring point that is an unknown but deterministic function of regressors. The second chapter proposes a new semiparametric estimator for binary-outcome selection models that does not impose any distributional assumption, nor specify the selection equation. The estimator, however, requires a special regressor satisfying a support restriction in the outcome equation and a variable satisfying the exclusion/inclusion restriction; the former should be continuous whereas the latter can be discrete. The estimators of Klein et al. (2011) and Escanciano et al. (2012) require optimization, but our estimator for the outcome equation has a closed-form expression with no need for any optimization (but the selection equation estimation may still need an optimization). We apply MLE and the proposed estimator to US presidential election data in 2008 and 2012 where Barack Obama won to see to what extent racism mattered; we use a prejudice variable as a measure of racism. Putting our empirical findings in advance, there is evidence that the white Democrats voted less for Obama due to prejudice, whereas the white Republicans acted in a more muted fashion (i.e., almost no change in voting due to racism) or voted more for Obama to escape the stigma of racism. We also found evidence of "own-race favor" by blacks
Thesis (PhD) — Boston College, 2014
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
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5

Teague, Kory Alan. "Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85966.

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Wireless network virtualization is a promising avenue of research for next-generation 5G cellular networks. This work investigates the problem of selecting base stations to construct virtual networks for a set of service providers, and adaptive slicing of the resources between the service providers to satisfy service provider demands. A two-stage stochastic optimization framework is introduced to solve this problem, and two methods are presented for approximating the stochastic model. The first method uses a sampling approach applied to the deterministic equivalent program of the stochastic model. The second method uses a genetic algorithm for base station selection and adaptively slicing via a single-stage linear optimization problem. A number of scenarios are simulated using a log-normal model designed to emulate demand from real world cellular networks. Simulations indicate that the first approach can provide a reasonably tight solution, but is constrained as the time expense grows exponentially with the number of parameters. The second approach provides a significant improvement in run time with the introduction of marginal error.
Master of Science
5G, the next generation cellular network standard, promises to provide significant improvements over current generation standards. For 5G to be successful, this must be accompanied by similarly significant efficiency improvements. Wireless network virtualization is a promising technology that has been shown to improve the cost efficiency of current generation cellular networks. By abstracting the physical resource—such as cell tower base stations— from the use of the resource, virtual resources are formed. This work investigates the problem of selecting virtual resources (e.g., base stations) to construct virtual wireless networks with minimal cost and slicing the selected resources to individual networks to optimally satisfy individual network demands. This problem is framed in a stochastic optimization framework and two approaches are presented for approximation. The first approach converts the framework into a deterministic equivalent and reduces it to a tractable form. The second approach uses a genetic algorithm to approximate resource selection. Approaches are simulated and evaluated utilizing a demand model constructed to emulate the statistics of an observed real world urban network. Simulations indicate that the first approach can provide a reasonably tight solution with significant time expense, and that the second approach provides a solution in significantly less time with the introduction of marginal error.
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6

Steele, Steven Cory Wyatt. "Optimal Engine Selection and Trajectory Optimization using Genetic Algorithms for Conceptual Design Optimization of Resuable Launch Vehicles." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51771.

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Proper engine selection for Reusable Launch Vehicles (RLVs) is a key factor in the design of low cost reusable launch systems for routine access to space. RLVs typically use combinations of different types of engines used in sequence over the duration of the flight. Also, in order to properly choose which engines are best for an RLV design concept and mission, the optimal trajectory that maximizes or minimizes the mission objective must be found for that engine configuration. Typically this is done by the designer iteratively choosing engine combinations based on his/her judgment and running each individual combination through a full trajectory optimization to find out how well the engine configuration performed on board the desired RLV design. This thesis presents a new method to reliably predict the optimal engine configuration and optimal trajectory for a fixed design of a conceptual RLV in an automated manner. This method is accomplished using the original code Steele-Flight. This code uses a combination of a Genetic Algorithm (GA) and a Non-Linear Programming (NLP) based trajectory optimizer known as GPOPS II to simultaneously find the optimal engine configuration from a user provided selection pool of engine models and the matching optimal trajectory. This method allows the user to explore a broad range of possible engine configurations that they wouldn't have time to consider and do so in less time than if they attempted to manually select and analyze each possible engine combination. This method was validated in two separate ways. The codes ability to optimize trajectories was compared to the German trajectory optimizer suite known as ASTOS where only minimal differences in the output trajectory were noticed. Afterwards another test was performed to verify the method used by Steele-Flight for engine selection. In this test, Steele-Flight was provided a vehicle model based on the German Saenger TSTO RLV concept and models of turbofans, turbojets, ramjets, scramjets and rockets. Steele-Flight explored the design space through the use of a Genetic Algorithm to find the optimal engine combination to maximize payload. The results output by Steele-Flight were verified by a study in which the designer manually chose the engine combinations one at a time, running each through the trajectory optimization routine to determine the best engine combination. For the most part, these methods yielded the same optimal engine configurations with only minor variation. The code itself provides RLV researchers with a new tool to perform conceptual level engine selection from a gathering of user provided conceptual engine data models and RLV structural designs and trajectory optimization for fixed RLV designs and fixed mission requirement.
Master of Science
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7

Carreras, Máximo [Verfasser], Werner [Akademischer Betreuer] Brannath, Frank [Akademischer Betreuer] Bretz, and Georg [Akademischer Betreuer] Gutjahr. "Two-Stage Adaptive Designs With Interim Treatment Selection / Máximo Ariel Carreras. Gutachter: Frank Bretz ; Georg Gutjahr. Betreuer: Werner Brannath." Bremen : Staats- und Universitätsbibliothek Bremen, 2015. http://d-nb.info/1072746301/34.

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8

Pan, Xi. "THE LABOR MARKET, POLITICAL CAPITAL, AND OWNERSHIP SECTOR IN URBAN CHINA." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/788.

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Over the past three decades, economic reforms have brought about dramatic changes in China. The wave of structural and economic reforms regarding the State-owned Sector (SOS), and the surge of the Non-State-owned Sector (NSOS), have influenced returns in the labor market, such as the returns concerning human capital and political capital in urban China. Presumably, the NSOS would be more marketed-oriented compared to the SOS, and it would have different returns concerning political capital, as represented by Chinese Communist Party (CCP) membership. This is likely because the NSOS would not value Party membership as much as the SOS does. The question of how Party membership is rewarded in the two sectors might also change with the development of the two ownership sectors, as more time passes since the establishment of the economic reforms. I examine whether CCP members display any earnings advantage in these two sectors, and I also explore how such an advantage might have changed over time. Unlike most of the previous studies that have focused on earnings in urban China, I treat Party membership affiliation and ownership sector selection as being endogeneous. I apply the Mlogit -OLS two-stage selection correction estimation proposed by Lee (1983) and discover evidence which suggests that Party membership serves as a proxy for both political and productive skills. A flat Party premium in the SOS and a decreasing Party premium in the NSOS suggest that the Party card served a similar function in the payment scheme present in the SOS during this three year span, whereas the NSOS valued political capital by a decreasing amount over time. The evidence presented in my dissertation indicates that economic reforms tend to mitigate the earning advantage of Party members that occurs as a result of unequal treatment based on Party membership. This evidence suggests that CCP membership is losing its earning power, at least in the NSOS. In addition, the CCP members sacrifice the benefits previously possessed in the adaptation to the transformed economic environment in urban China. However, the rewards to other forms of human capital have increased over time.
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9

Choudhary, Pankaj K. "ASSESSMENT OF AGREEMENT AND SELECTION OF THE BEST INSTRUMENT IN METHOD COMPARISON STUDIES." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1029109764.

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10

Barksten, Martin. "Evaluating the effect of cardinality estimates on two state-of-the-art query optimizer's selection of access method." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189892.

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Анотація:
This master thesis concern relational databases and their query optimizer’s sensitivity to cardinality estimates and the e!ect the quality of the estimate has on the number of different access methods used for the same relation. Two databases are evaluated — PostgreSQL and MariaDB — on a real-world dataset to provide realistic results. The evaluation was done via a tool implemented in Clojure and tests were conducted on a query and subsets of it with varying sample sizes used when estimating cardinality. The results indicate that MariaDB’s query optimizer is less sensitive to cardinality estimates and for all tests select the same access methods, regardless of the quality of the cardinality estimate. This stands in contrast to PostgreSQL’s query optimizer which will vary between using an index or doing a full table scan depending on the estimated cardinality. Finally, it is also found that the predicate value used in the query a!ects the access method used. Both PostgreSQL and MariaDB are found sensitive to this property, with MariaDB having the largest number of di!erent access methods used depending on predicate value.
Detta examensarbete behandlar relationella databaseer och hur stor påverkan kvaliteten på den uppskattade kardinaliteten har på antalet olika metoder som används för att hämta data från samma relation. Två databaser testades — PostgreSQL och MariaDB — på ett verkligt dataset för att ge realistiska resultat. Utvärderingen gjordes med hjälp av ett verktyg implementerat i Clojure och testerna gjordes på en query, och delvarianter av den, med varierande stora sample sizes för kardinalitetsuppskattningen. Resultaten indikerar att MariaDBs query optimizer inte påverkas av kardinalitetsuppskattningen, för alla testerna valde den samma metod för att hämta datan. Detta skiljer sig mot PostgreSQLs query optimizer som varierade mellan att använda sig av index eller göra en full table scan beroende på den uppskattade kardinaliteten. Slutligen pekade även resultaten på att båda databasernas query optimizers varierade metod för att hämta data beroende på värdet i predikatet som användes i queryn.
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Книги з теми "Two stage selection"

1

Axel, Zimmermann, Müller Hans-Joachim 1947-, and Galerie von Braunbehrens (Munich, Germany), eds. Xenia Hausner: Two. München: Galerie von Braunbehrens, 2007.

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2

National Joint Consultative Committee for Building. Code of procedure for two stage selective tendering. London: RIBA Publications for the NJCC, 1996.

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National Joint Consultative Committee for Building. Code of procedure for two stage selective tendering. London: RIBA, 1994.

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Cicero, Marcus Tullius. De re publica: Selections. Cambridge [England]: Cambridge University Press, 1995.

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5

United States. National Aeronautics and Space Administration., ed. Selection process for trade study: Reusable hydrogen composite tank system (RHCTS). [Downey, Calif.]: Rockwell Aerospace, Space Systems Division, 1994.

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Christensen, John O. State aid to libraries in the 1980's: A selective bibliography. Monticello, Ill: Vance Bibliographies, 1990.

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Patrick, Olivelle, and McClish Mark, eds. The Arthasástra: Selections from the classic Indian work on statecraft. Indianapolis, Ind: Hackett Pub. Co., 2012.

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Plutarch. Selections from Plutarch's Lives. St. Petersburg, Fla: Red and Black Publishers, 2009.

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9

Machiavelli, Niccolò. Machiavelli: The Prince, selections from The Discourses and other writings. London: Fontana/Collins, 1989.

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10

Sheehan, John. Higher education: The case for selective measures. Dublin: Department of Political Economy, UCD, 1987.

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Частини книг з теми "Two stage selection"

1

Zhi, Xiaobin, and Shaoru Wu. "Two-Stage Discriminative Feature Selection." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 321–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32591-6_34.

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Kudo, Mineichi, and Jack Sklansky. "Classifier-independent feature selection for two-stage feature selection." In Advances in Pattern Recognition, 548–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0033278.

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3

Özgür, Levent, and Tunga Güngör. "Two-Stage Feature Selection for Text Classification." In Lecture Notes in Electrical Engineering, 329–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22635-4_30.

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Kumar, Vinod, Abhishek Sharma, Anil Bansal, and Jagnur Singh Sandhu. "Two-Stage Feature Selection Pipeline for Text Classification." In Computer Networks and Inventive Communication Technologies, 795–809. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3728-5_59.

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Huang, Rong, Rada Chirkova, and Yahya Fathi. "Two-Stage Stochastic View Selection for Data-Analysis Queries." In Advances in Intelligent Systems and Computing, 115–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32741-4_11.

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Grover, Jeff. "Special Forces Assessment and Selection (SFAS) Two-Stage Example." In Strategic Economic Decision-Making, 103–13. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-6040-4_14.

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Singh, Lovejit, Sarbjeet Singh, and Naveen Aggarwal. "Two-Stage Text Feature Selection Method for Human Emotion Recognition." In Proceedings of 2nd International Conference on Communication, Computing and Networking, 531–38. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1217-5_51.

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Du, Dajun, Kang Li, and Jing Deng. "An Efficient Two-Stage Gene Selection Method for Microarray Data." In Intelligent Computing for Sustainable Energy and Environment, 424–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37105-9_47.

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Gao, Ying-Lian, Jin-Xing Liu, Chun-Hou Zheng, Sheng-Jun Li, and Yu-Xia Lei. "A Two-Stage Sparse Selection Method for Extracting Characteristic Genes." In Intelligent Computing Theories and Methodologies, 577–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22186-1_58.

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Jia, Yonghui, Chuanyuan Tan, Yuehe Chen, Muhua Zhu, Pingfu Chao, and Wenliang Chen. "Two-Stage Query Graph Selection for Knowledge Base Question Answering." In Natural Language Processing and Chinese Computing, 16–28. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-17189-5_2.

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Тези доповідей конференцій з теми "Two stage selection"

1

Xu, Ke, Hiromasa Arai, Crystal Maung, and Haim Schweitzer. "Two-Stage Feature Selection with Unsupervised Second Stage." In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. http://dx.doi.org/10.1109/ictai.2017.00034.

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Routtenberg, Tirza. "Two-stage estimation after parameter selection." In 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016. http://dx.doi.org/10.1109/ssp.2016.7551842.

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Chi, Xu, Tan Puay Siew, and Erik Cambria. "Adaptive two-stage feature selection for sentiment classification." In 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2017. http://dx.doi.org/10.1109/smc.2017.8122782.

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Li, Xi, Hang Dai, and Mingwen Wang. "Two-Stage Feature Selection Method for Text Classification." In 2009 International Conference on Multimedia Information Networking and Security. IEEE, 2009. http://dx.doi.org/10.1109/mines.2009.127.

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5

Velez-Reyes, Miguel, Daphnia M. Linares, and Luis O. Jimenez-Rodriguez. "Two-stage band selection algorithm for hyperspectral imagery." In AeroSense 2002, edited by Sylvia S. Shen and Paul E. Lewis. SPIE, 2002. http://dx.doi.org/10.1117/12.478766.

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Firouzi, Hamed, Bala Rajaratnam, and Alfred O. Hero. "Two-stage variable selection for molecular prediction of disease." In 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2013. http://dx.doi.org/10.1109/camsap.2013.6714034.

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Rihab, Mechmech, Harbi Slim, B. Hadj-Alouane Atidel, and Sboui Sami. "A two stage approach for off-price retailers selection." In 2020 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2020. http://dx.doi.org/10.1109/dasa51403.2020.9317033.

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Meng, Jiana, and Hongfei Lin. "A two-stage feature selection method for text categorization." In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569324.

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9

Bondre, Akshay S., and Christ D. Richmond. "On Threshold Selection for Improved SAR Two-Stage Change Detection." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114551.

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Weihua Yang, Yanan Yang, Xiushan Wang, and Fenghai Zhang. "Two-stage decision-making method of PPP project model selection." In 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2012. http://dx.doi.org/10.1109/icsess.2012.6269545.

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Звіти організацій з теми "Two stage selection"

1

Gupta, Shanti S., and Klaus J. Miescke. Optimum Two-Stage Selection Procedures for Weibull Populations. Fort Belvoir, VA: Defense Technical Information Center, October 1985. http://dx.doi.org/10.21236/ada162824.

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Funkenstein, Bruria, and Cunming Duan. GH-IGF Axis in Sparus aurata: Possible Applications to Genetic Selection. United States Department of Agriculture, November 2000. http://dx.doi.org/10.32747/2000.7580665.bard.

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Анотація:
Many factors affect growth rate in fish: environmental, nutritional, genetics and endogenous (physiological) factors. Endogenous control of growth is very complex and many hormone systems are involved. Nevertheless, it is well accepted that growth hormone (GH) plays a major role in stimulating somatic growth. Although it is now clear that most, if not all, components of the GH-IGF axis exist in fish, we are still far from understanding how fish grow. In our project we used as the experimental system a marine fish, the gilthead sea bream (Sparus aurata), which inhabits lagoons along the Mediterranean and Atlantic coasts of Europe, and represents one of the most important fish species used in the mariculture industry in the Mediterranean region, including Israel. Production of Sparus is rapidly growing, however, in order for this production to stay competitive, the farming of this fish species has to intensify and become more efficient. One drawback, still, in Sparus extensive culture is that it grows relatively slow. In addition, it is now clear that growth and reproduction are physiological interrelated processes that affect each other. In particular sexual maturation (puberty) is known to be closely related to growth rate in fish as it is in mammals, indicating interactions between the somatotropic and gonadotropic axes. The goal of our project was to try to identify the rate-limiting components(s) in Sparus aurata GH-IGF system which might explain its slow growth by studying the ontogeny of growth-related genes: GH, GH receptor, IGF-I, IGF-II, IGF receptor, IGF-binding proteins (IGFBPs) and Pit-1 during early stages of development of Sparus aurata larvae from slow and fast growing lines. Our project was a continuation of a previous BARD project and could be divided into five major parts: i) obtaining additional tools to those obtained in the previous project that are necessary to carry out the developmental study; ii) the developmental expression of growth-related genes and their cellular localization; iii) tissue-specific expression and effect of GH on expression of growth-related genes; iv) possible relationship between GH gene structure, growth rate and genetic selection; v) the possible role of the IGF system in gonadal development. The major findings of our research can be summarized as follows: 1) The cDNAs (complete or partial) coding for Sparus IGFBP-2, GH receptor and Pit-1 were cloned. Sequence comparison reveals that the primary structure of IGFBP-2 protein is 43-49% identical to that of zebrafish and other vertebrates. Intensive efforts resulted in cloning a fragment of 138 nucleotides, coding for 46 amino acids in the proximal end of the intracellular domain of GH receptor. This is the first fish GH receptor cDNA that had been cloned to date. The cloned fragment will enable us to complete the GH - receptor cloning. 2) IGF-I, IGF-II, IGFBP-2, and IGF receptor transcripts were detected by RT-PCR method throughout development in unfertilized eggs, embryos, and larvae suggesting that these mRNAs are products of both the maternal and the embryonic genomes. Preliminary RT-PCR analysis suggest that GH receptor transcript is present in post-hatching larvae already on day 1. 3) IGF-1R transcripts were detected in all tissues tested by RT-PCR with highest levels in gill cartilage, skin, kidney, heart, pyloric caeca, and brain. Northern blot analysis detected IGF receptor only in gonads, brain and gill cartilage but not in muscle; GH increased slightly brain and gill cartilage IGF-1R mRNA levels. 4) IGFBP-2 transcript were detected only in liver and gonads, when analyzed by Northern blots; RT-PCR analysis revealed expression in all tissues studied, with the highest levels found in liver, skin, gonad and pyloric caeca. 5) Expression of IGF-I, IGF-II, IGF-1R and IGFBP-2 was analyzed during gonadal development. High levels of IGF-I and IGFBP-2 expression were found in bisexual young gonads, which decreased during gonadal development. Regardless of maturational stage, IGF-II levels were higher than those of IGF-L 6) The GH gene was cloned and its structure was characterized. It contains minisatellites of tandem repeats in the first and third introns that result in high level of genetic polymorphism. 7) Analysis of the presence of IGF-I and two types of IGF receptor by immunohistochemistry revealed tissue- and stage-specific expression during larval development. Immunohistochemistry also showed that IGF-I and its receptors are present in both testicular and ovarian cells. Although at this stage we are not able to pinpoint which is the rate-limiting step causing the slow growth of Sparus aurata, our project (together with the previous BARD) yielded a great number of experimental tools both DNA probes and antibodies that will enable further studies on the factors regulating growth in Sparus aurata. Our expression studies and cellular localization shed new light on the tissue and developmental expression of growth-related genes in fish.
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3

Leaver, Clare, Owen Ozier, Pieter Serneels, and Andrew Zeitlin. Recruitment, Effort, and Retention Effects of Performance Contracts for Civil Servants: Experimental Evidence from Rwandan Primary Schools. Research on Improving Systems of Education (RISE), September 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/048.

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This paper reports on a two-tiered experiment designed to separately identify the selection and effort margins of pay-for-performance (P4P). At the recruitment stage, teacher labor markets were randomly assigned to a pay-for-percentile or fixed-wage contract. Once recruits were placed, an unexpected, incentive-compatible, school-level re-randomization was performed, so that some teachers who applied for a fixed-wage contract ended up being paid by P4P, and vice versa. By the second year of the study, the within-year effort effect of P4P was 0.16 standard deviations of pupil learning, with the total effect rising to 0.20 standard deviations after allowing for selection.
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4

Weller, Joel I., Ignacy Misztal, and Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, March 2015. http://dx.doi.org/10.32747/2015.7594404.bard.

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The main objectives of this research was to detect the specific polymorphisms responsible for observed quantitative trait loci and develop optimal strategies for genomic evaluations and selection for moderate (Israel) and large (US) dairy cattle populations. A joint evaluation using all phenotypic, pedigree, and genomic data is the optimal strategy. The specific objectives were: 1) to apply strategies for determination of the causative polymorphisms based on the “a posteriori granddaughter design” (APGD), 2) to develop methods to derive unbiased estimates of gene effects derived from SNP chips analyses, 3) to derive optimal single-stage methods to estimate breeding values of animals based on marker, phenotypic and pedigree data, 4) to extend these methods to multi-trait genetic evaluations and 5) to evaluate the results of long-term genomic selection, as compared to traditional selection. Nearly all of these objectives were met. The major achievements were: The APGD and the modified granddaughter designs were applied to the US Holstein population, and regions harboring segregating quantitative trait loci (QTL) were identified for all economic traits of interest. The APGD was able to find segregating QTL for all the economic traits analyzed, and confidence intervals for QTL location ranged from ~5 to 35 million base pairs. Genomic estimated breeding values (GEBV) for milk production traits in the Israeli Holstein population were computed by the single-step method and compared to results for the two-step method. The single-step method was extended to derive GEBV for multi-parity evaluation. Long-term analysis of genomic selection demonstrated that inclusion of pedigree data from previous generations may result in less accurate GEBV. Major conclusions are: Predictions using single-step genomic best linear unbiased prediction (GBLUP) were the least biased, and that method appears to be the best tool for genomic evaluation of a small population, as it automatically accounts for parental index and allows for inclusion of female genomic information without additional steps. None of the methods applied to the Israeli Holstein population were able to derive GEBV for young bulls that were significantly better than parent averages. Thus we confirm previous studies that the main limiting factor for the accuracy of GEBV is the number of bulls with genotypes and progeny tests. Although 36 of the grandsires included in the APGD were genotyped for the BovineHDBeadChip, which includes 777,000 SNPs, we were not able to determine the causative polymorphism for any of the detected QTL. The number of valid unique markers on the BovineHDBeadChip is not sufficient for a reasonable probability to find the causative polymorphisms. Complete resequencing of the genome of approximately 50 bulls will be required, but this could not be accomplished within the framework of the current project due to funding constraints. Inclusion of pedigree data from older generations in the derivation of GEBV may result is less accurate evaluations.
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5

Gradín, Carlos. WIID Companion (March 2021): integrated and standardized series. UNU-WIDER, March 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-5.

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This document is part of a series of technical notes describing the compilation of a new companion database that complements the World Income Inequality Database. It aims at facilitating the analysis of inequality as well as progress in achieving the global goal of reducing inequality within and across countries. This new dataset also includes an annual series reporting the income distribution at the percentile level for all citizens in the world, regardless of where they live, since 1950 to present. A previous note described the selection of income distribution series. Since these series may differ across welfare concepts and other methods used, this technical note describes the second stage, constructing integrated and standardized country series. It discusses all the necessary adjustments conducted to construct the final series for each country, with consistent estimates of the distribution of net income per capita over the entire period for which information is available. This is mainly divided into two stages. First, integrating country series by interlinking series that overlap over time, then using a more general regression-based approach.
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6

Waisel, Yoav, Bobbie McMichael, and Amram Eshel. Decision Making within Plant Root Systems. United States Department of Agriculture, March 1996. http://dx.doi.org/10.32747/1996.7613030.bard.

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Architecture of a root system is the expression of the potential of various root types to branch, to grow and to coordinate with other plant organs, under the specific limitations of the environmental conditions. The present investigation has proven the following points. 1) Genotypes with different types of root systems were identified. The growth patterns of their roots and the distribution of laterals along their main axes were recorded. 2) The patterns of development of the root systems of four cotton genotypes, throughout the entire life cycle of the plants, were described, even at such a late stage of development when the total length of the roots exceeded two kilometers. To the best of our knowledge, this is the first time that an analysis of this type is accomplished. 3) The development of root systems under restrictive soil conditions were compared with those that have developed under the non-restrictive conditions of aeroponics. Results indicate that in the absence of the mechanical impedance of the soil, cotton plants develop single roots that reach the length of 6 m, and have a total root length of 2000 m. Thus, root growth is strongly inhibited by the soil, with some root types being inhibited more than others. 4) One of the important decisions, in constructing an operational root system architecture of mature plants, is the shift of the balance between various root fractions in favor of the very fine roots. 5) Root system architecture is determined, in part, by the sites of initiation of the lateral roots. This is determined genetically by the number of xylem archs and by the totuosity of the stele. Selection for such traits should be sought.
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7

Gradín, Carlos. WIID Companion (March 2021): data selection. UNU-WIDER, March 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-4.

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Анотація:
This document is part of a series of technical notes describing the compilation of a new companion database that complements the World Income Inequality Database (WIID). It aims at facilitating the analysis of inequality as well as progress in achieving the global goal of reducing inequality within and across countries. This new dataset also includes an annual series reporting the income distribution at the percentile level for all citizens in the world, regardless of where they live, from 1950 to the present. This technical note describes the first stage in constructing the first version of the companion datasets: data selection. It provides an overview of the approach followed in the selection of the series from different sources with information on income distribution and inequality that best represent each country and period. It also discusses the general criteria used and their implementation, which are illustrated with a few country examples.
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8

Nichols, Todd Travis, Charles Marshall Barnes, Lance Lauerhass, and Dean Dalton Taylor. Selection of Steady-State Process Simulation Software to Optimize Treatment of Radioactive and Hazardous Waste. Office of Scientific and Technical Information (OSTI), June 2001. http://dx.doi.org/10.2172/911462.

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Nichols, T. T., C. M. Barnes, L. Lauerhass, and D. D. Taylor. Selection of Steady-State Process Simulation Software to Optimize Treatment of Radioactive and Hazardous Waste. Office of Scientific and Technical Information (OSTI), June 2001. http://dx.doi.org/10.2172/782922.

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Sela, Hanan, Eduard Akhunov, and Brian J. Steffenson. Population genomics, linkage disequilibrium and association mapping of stripe rust resistance genes in wild emmer wheat, Triticum turgidum ssp. dicoccoides. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598170.bard.

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The primary goals of this project were: (1) development of a genetically characterized association panel of wild emmer for high resolution analysis of the genetic basis of complex traits; (2) characterization and mapping of genes and QTL for seedling and adult plant resistance to stripe rust in wild emmer populations; (3) characterization of LD patterns along wild emmer chromosomes; (4) elucidation of the multi-locus genetic structure of wild emmer populations and its correlation with geo-climatic variables at the collection sites. Introduction In recent years, Stripe (yellow) rust (Yr) caused by Pucciniastriiformis f. sp. tritici(PST) has become a major threat to wheat crops in many parts of the world. New races have overcome most of the known resistances. It is essential, therefore, that the search for new genes will continue, followed by their mapping by molecular markers and introgression into the elite varieties by marker-assisted selection (MAS). The reservoir of genes for disease and pest resistance in wild emmer wheat (Triticumdicoccoides) is an important resource that must be made available to wheat breeders. The majority of resistance genes that were introgressed so far in cultivated wheat are resistance (R) genes. These genes, though confering near-immunity from the seedling stage, are often overcome by the pathogen in a short period after being deployed over vast production areas. On the other hand, adult-plant resistance (APR) is usually more durable since it is, in many cases, polygenic and confers partial resistance that may put less selective pressure on the pathogen. In this project, we have screened a collection of 480 wild emmer accessions originating from Israel for APR and seedling resistance to PST. Seedling resistance was tested against one Israeli and 3 North American PST isolates. APR was tested on accessions that did not have seedling resistance. The APR screen was conducted in two fields in Israel and in one field in the USA over 3 years for a total of 11 replicates. We have found about 20 accessions that have moderate stripe rust APR with infection type (IT<5), and about 20 additional accessions that have novel seedling resistance (IT<3). We have genotyped the collection using genotyping by sequencing (GBS) and the 90K SNP chip array. GBS yielded a total 341K SNP that were filtered to 150K informative SNP. The 90K assay resulted in 11K informative SNP. We have conducted a genome-wide association scan (GWAS) and found one significant locus on 6BL ( -log p >5). Two novel loci were found for seedling resistance. Further investigation of the 6BL locus and the effect of Yr36 showed that the 6BL locus and the Yr36 have additive effect and that the presence of favorable alleles of both loci results in reduction of 2 grades in the IT score. To identify alleles conferring adaption to extreme climatic conditions, we have associated the patterns of genomic variation in wild emmer with historic climate data from the accessions’ collection sites. The analysis of population stratification revealed four genetically distinct groups of wild emmer accessions coinciding with their geographic distribution. Partitioning of genomic variance showed that geographic location and climate together explain 43% of SNPs among emmer accessions with 19% of SNPs affected by climatic factors. The top three bioclimatic factors driving SNP distribution were temperature seasonality, precipitation seasonality, and isothermality. Association mapping approaches revealed 57 SNPs associated with these bio-climatic variables. Out of 21 unique genomic regions controlling heading date variation, 10 (~50%) overlapped with SNPs showing significant association with at least one of the three bioclimatic variables. This result suggests that a substantial part of the genomic variation associated with local adaptation in wild emmer is driven by selection acting on loci regulating flowering. Conclusions: Wild emmer can serve as a good source for novel APR and seedling R genes for stripe rust resistance. APR for stripe rust is a complex trait conferred by several loci that may have an additive effect. GWAS is feasible in the wild emmer population, however, its detection power is limited. A panel of wild emmer tagged with more than 150K SNP is available for further GWAS of important traits. The insights gained by the bioclimatic-gentic associations should be taken into consideration when planning conservation strategies.
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