Relevant bibliographies by topics / Quality scoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Quality scoring'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Quality scoring"

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Neumeyer, Leonardo, Horacio Franco, Vassilios Digalakis, and Mitchel Weintraub. "Automatic scoring of pronunciation quality." Speech Communication 30, no. 2-3 (February 2000): 83–93. http://dx.doi.org/10.1016/s0167-6393(99)00046-1.

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Solow, Andrew R., and Arthur G. Gaines. "Mapping water quality by local scoring." Canadian Journal of Statistics 21, no. 2 (June 1993): 123–30. http://dx.doi.org/10.2307/3315805.

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Ding, Y., and P. F. White. "Simplified quality of anaesthesia scoring system." Anaesthesia 47, no. 10 (October 1992): 906–7. http://dx.doi.org/10.1111/j.1365-2044.1992.tb03166.x.

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Idczak, Adam Piotr. "Remarks on Statistical Measures for Assessing Quality of Scoring Models." Acta Universitatis Lodziensis. Folia Oeconomica 4, no. 343 (September 13, 2019): 21–38. http://dx.doi.org/10.18778/0208-6018.343.02.

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Granting a credit product has always been at the heart of banking. Simultaneously, banks are obligated to assess the borrower’s credit risk. Apart from creditworthiness, to grant a credit product, banks are using credit scoring more and more often. Scoring models, which are an essential part of credit scoring, are being developed in order to select those clients who will repay their debt. For lenders, high effectiveness of selection based on the scoring model is the primary attribute, so it is crucial to gauge its statistical quality. Several textbooks regarding assessing statistical quality of scoring models are available, there is however no full consistency between names and definitions of particular measures. In this article, the most common statistical measures for assessing quality of scoring models, such as the pseudo Gini index, Kolmogorov‑Smirnov statistic, and concentration curve are reviewed and their statistical characteristics are discussed. Furthermore, the author proposes the application of the well‑known distribution similarity index as a measure of discriminatory power of scoring models. The author also attempts to standardise names and formulas for particular measures in order to finally contrast them in a comparative analysis of credit scoring models.
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HATAE, Keiko, Rieko YOSHIMURA, Atsuko SHIMADA, and Satomi SUGIYAMA. "Objective Scoring Method for Grilled Fish Quality." NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 43, no. 12 (1996): 1314–22. http://dx.doi.org/10.3136/nskkk.43.1314.

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Cappiello, C., C. Cerletti, C. Fratto, and B. Pernici. "Validating Data Quality Actions in Scoring Processes." Journal of Data and Information Quality 9, no. 2 (January 22, 2018): 1–27. http://dx.doi.org/10.1145/3141248.

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Zhang, Junbo, Puping Pan, and Yonghong Yan. "Automatic Scoring on English Passage Reading Quality." Procedia Engineering 29 (2012): 2744–48. http://dx.doi.org/10.1016/j.proeng.2012.01.383.

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Ricart, Glenn, Abiodun T. Atoloye, Carrie M. Durward, and Patricia M. Guenther. "New Exponential Scoring Functions for Diet Quality Indexes Solve Problems Caused by Truncation." Journal of Nutrition 152, no. 4 (December 27, 2021): 1168–73. http://dx.doi.org/10.1093/jn/nxab431.

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ABSTRACT Background Diet quality indexes, including the Healthy Eating Index, assess diets based on usual dietary intakes and a scoring function. Nearly all diet quality indexes use scoring functions that have floors and ceilings, thereby truncating the scores and losing information about intakes outside the scoring range. This score truncation has 2 important impacts: 1) the index does not reflect all intakes; and 2) the assumption that measurement error in intake reporting has a neutral impact on the diet quality score cannot be upheld. Objectives Our main objective was to devise new diet quality scoring functions that eliminate truncation and its attendant problems. Methods Seven desirable properties of a new scoring function were identified: 1) avoid truncations in component scoring to prevent information loss and to provide scoring sensitivity in the currently truncated regions; 2) reduce dependency on the accuracy of dietary standards; 3) minimize measurement error bias and subsequent misclassification; 4) relate plausibly to biological processes; 5) possess desirable mathematical and statistical properties; 6) have simple representations that are easy to calculate and add minimum artifacts of their own; and 7) otherwise closely mimic existing scoring functions. Results The recommended replacement for piecewise-linear scoring is a family of scoring functions based on exponentials. For components where higher intakes are better, the function is a single exponential. For components where lower intakes are better, the function is a concave-convex mirrored pair of exponentials. The proposed exponential scoring functions have all 7 desired properties. Conclusions The proposed exponential scoring functions will improve the usefulness of dietary scoring indexes by eliminating truncations. Compared to existing scoring functions, the use of exponentials makes the scores more inclusive of very high and very low intakes, reduces measurement error bias, and is less sensitive to the exact placement of the scoring standards.
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Han, Chao, and Xiaolei Lu. "Interpreting quality assessment re-imagined: The synergy between human and machine scoring." Interpreting and Society 1, no. 1 (September 2021): 70–90. http://dx.doi.org/10.1177/27523810211033670.

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Assessment of interpreting quality is a ubiquitous social practice in the interpreting industry and academia. In this article, we focus on both psychometric and social dimensions of assessment practice, and analyse two major assessment paradigms, namely, human rater scoring and automatic machine scoring. Regarding human scoring, we describe five specific methods, including atomistic scoring, questionnaire-based scoring, multi-methods scoring, rubric scoring, and ranking, and critically analyse their respective strengths and weaknesses. In terms of automatic scoring, we highlight four assessment approaches that have been researched and operationalised in cognate disciplines and interpreting studies, including automatic assessment based on temporal variables, linguistic/surface features, machine translation metrics, and quality estimation methodology. Finally, we problematise the socio-technological tension between these two paradigms and envisage human–machine collaboration to produce psychometrically sound and socially responsible assessment. We hope that this article sparks more scholarly discussion of rater-mediated and automatic assessment of interpreting quality from a psychometric-social perspective.
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Tiemensma, Jitske, Sarah Depaoli, and John M. Felt. "Using subscales when scoring the Cushing's quality of life questionnaire." European Journal of Endocrinology 174, no. 1 (January 2016): 33–40. http://dx.doi.org/10.1530/eje-15-0640.

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ContextPatients in long-term remission of Cushing's syndrome (CS) commonly report impaired quality of life (QoL). The CushingQoL questionnaire is a disease-specific QoL questionnaire for patients diagnosed with CS. The developers of the CushingQoL recommend using a global (total) score to assess QoL. However, the global score does not capture all aspects of QoL as outlined by the World Health Organization (WHO).ObjectiveThe aim of the study was to compare the performance of different scoring options to determine the optimal method for the CushingQoL.Design and patientsPatients in remission from CS (n=341) were recruited from the Cushing's Syndrome Research Foundation's email listserv and Facebook page, and asked to complete the CushingQoL and a short demographics survey.ResultsUsing an exploratory analysis, adequate model fit was obtained for the global score, as well as a 2-subscale (psychosocial issues and physical problems) scoring solution. Confirmatory methods were performed to identify the optimal scoring solution. Both the global score and the 2-subscale scoring solution showed adequate model fit. However, a χ2 difference test indicated that the 2-subscale scoring solution was a significantly better fit than the global score (P<0.05).ConclusionIf doctors or researchers would like to tease apart physical and psychosocial issues, the 2-subscale scoring solution would be recommended, since this solution showed to be optimal in scoring the CushingQoL. Regardless of the scoring solution used, the CushingQoL has proven to be a valuable resource for assessing health-related QoL in patients with CS.
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Dissertations / Theses on the topic "Quality scoring"

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Lenart, Marcin. "Sensor information scoring for decision-aid systems in railway domain." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS157.

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Cette thèse examine le problème de l’évaluation de la qualité d’information produite par des capteurs : ces derniers ne fournissent pas toujours une information correcte et l’évaluation de sa qualité est nécessaire pour en permettre une utilisation optimale. Nous proposons une approche qui ne fait pas d’hypothèse sur le type de capteur considéré, ne requiert pas de vérité-terrain et dépend seulement de méta-informations aisées à obtenir, qui exploitent des attributs partagés par la plupart des capteurs. Le modèle proposé est appelé ReCLiC, du nom en anglais des quatre dimensions sur lesquelles il repose : fiabilité, compétence, vraisemblance et crédibilité (Reliability, Competence, Likelihood et Credibility). Nous discutons les contraintes et propriétés souhaitées de ces dimensions et proposons des définitions motivées pour chacune d’entre elles. De plus, nous proposons une implémentation de la définition générique de ReCLiC pour un problème réel, dans le domaine de la signalisation ferroviaire : nous discutons de leur forme pour cette application et effectuons une analyse théorique du comportement du modèle de cotation d’information auquel elles conduisent, en examinant chaque dimension séparément. Cette implémentation est validée expérimentalement en utilisant des données simulées réalistes, générées selon un protocole expérimental permettant de contrôler les problèmes de qualité introduits. Le modèle ReCLIC est de plus mis en oeuvre sur des données ferroviaires réelles, en utilisant une méthode de visualisation originale qui permet en outre d'étudier la notion de dynamique de la confiance
In this thesis, the problem of assessing information quality produced by sensors is investigated. Indeed, sensors, usually used in networks, do not always provide correct information and the scoring of this information is needed. An approach is proposed that deals with some of the major limitations in the literature by providing a model designed to be sensor-generic, not dependent on ground truth and dependent only on easy-to-access meta-information, exploiting only attributes shared among the majority of sensors. The proposed model is called ReCLiC from the four dimensions that it considers: Reliability, Competence, Likelihood and Credibility. The thesis discusses in depth the requirements of these dimensions and proposes motivated definitions for each of them. Furthermore, it proposes an implementation of the generic ReCLiC definition to a real case, for a specific sensor in the railway signalling domain: the form of the four dimensions for this case is discussed and a formal and experimental study of the information scoring behaviour is performed, analysing each dimension separately. The proposed implementation of the ReCLiC model is experimentally validated using realistic simulated data, based on an experimental protocol that allows to control various quality issues as well as their quantity, Finally, the ReCLiC model is used to analyse a real datasetapplying a new visualisation method that, in addition, allows to study the notion of trust dynamic
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Sarris, Ippokratis. "Creation of a new fetal biometry image quality scoring tool to improve the accuracy of fetal biometric measurements." Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595667.

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The hypothesis of this work is that through establishing the background variation of ultrasonographic fetal biometry measurements and elucidating the parameters that influence these measurements, a new Fetal Ultrasound Biometry Quality (FUB-Q) image-scoring tool can be created which will be reproducible and able to quantify the accuracy of fetal measurements. Six studies are included, each answering a specific research question. The aim of the first study was to ascertain whether pre-existing image quality scoring methods reflect measurement accuracy and reproducibility. It demonstrated that during the course of an exercise where there was demonstrable improvement in the consistency of measurements performed - by a group of sonographers, this was not mirrored by the pre-existing image scoring system. The aim of the second study was to establish the intra- and inter- observer variability of fetal biometry measurements throughout pregnancy by expert sonographers. This study demonstrated that ultrasound variability of fetal biometry increases with advancing gestation when expressed in measurement values, but is constant as a percentage of the fetal dimensions or when reported as a z score. Calliper placement was the major component of the overall variability. The values from this study served as the background variability, "reference standard", for the FUB-Q tool. The third study had two aims. The first was to establish how 3D scanning performs compared to conventional, real-time, 20. The second aim was to assess whether off-line 3D volume manipulation can be used as a tool to substitute real-time 20 ultrasound for the subsequent studies. It demonstrated that measurements using 3D volume acquisitions exhibit good agreement with real-time 20 scanning, with no systematic error but with a higher random error. However, it also demonstrated that 3D scanning is slower to perform and, similar to real-time 2D, it is not always possible to acquire a 3D volume from a desired orientation. Furthermore, not all 3D volume acquisitions were amenable to reconstruction. However, this study showed that saved 3D volumes can be used as a mean to store large volumes of data for later detailed analysis. The aim of the fourth study was to create the FUB-Q scoring tool. This was done by establishing the difference in measurement resulting from optimal and different forms of suboptimal images in a systematic fashion. For any . t " given image, and its derived measurement, the observer inserts in the model the various image scoring point parameters. The model then gives a prediction about the confidence interval within which the optimal, "gold standard", measurement should be. The aim of the fifth study was to validate on an independent test set the predictive ability of the newly developed FUB-Q scoring tool. It demonstrated that the FUB-Q tool can correctly predict the confidence interval within which measurements recorded from correctly acquired images should be in relation to measurements acquired from incorrectly acquired ones. The aim of the sixth, and final , study was to evaluate the reproducibility of obtaining the relevant scores for the FUB-Q tool. It demonstrated that the FUB-Q tool has good intra- and inter- observer reproducibility and is a reliable system for assessing the quality of fetal biometry based on ultrasound images. In conclusion, the FUB-Q tool could be a useful system used for audit of clinical practice and quality control as well as for training purposes .
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Dallas, Helen Fiona. "An evaluation of SASS (South African scoring system) as a tool for the rapid bioassessment of water quality." Master's thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/21180.

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Bibliography: pages 139-150.
The South African Scoring System (SASS) is a rapid bioassessment technique based on one component of riverine biotas, the benthic macroinvertebrates. Each taxon is assigned a tolerance/sensitivity score, which are summed to provide a Total Score. The Average Score per Taxon (ASPT) is calculated by dividing this Total Score by the number of taxa. This study was undertaken to evaluate the SASS technique as a tool for the assessment of water quality. Three study-sites, which differed in water quality, in the south-western Cape were selected for a detailed investigation into sample variability and replication of two methods of biological assessment, namely quantitative box-sampling and SASS. The ability of each method to differentiate between these sites was determined. The more general application of SASS in the south-western Cape was examined at forty nine sites and potential problems associated with SASS, namely biotope availability, temporal variability and longitudinal changes were investigated. A minimum of twelve and four quantitative samples is needed to ensure collection of 95% or 75% of benthic macroinvertebrate taxa respectively. Sampling within a single biotope component, such as a "riffle" or "run" would reduce the number of samples needed. A minimum of four and two SASS samples is needed to ensure collection of 95% or 75% of the taxa respectively. This technique is however designed such that only one sample is taken per site. The Total Score that one sample would produce as a percentage of the Total Score from 20 samples, were 28% , 59% and 45% for Sites 1, 2 and 3 respectively. Total Score increases with increasing sampling effort, whilst ASPT is relatively unaffected by sampling effort. ASPT should therefore be used in interpretation of scores. Variability, as determined by both quantitative sampling and rapid bioassessment, was greatest at the least impacted site. Such sites should be more intensively sampled, either by increasing the number of box- samples taken, or by increasing the time period for SASS sampling.
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Plunkett, Brandi Lyn. "Estimating third -party examiners' scoring stability on selected applications to the Texas Award for Performance Excellence." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4785.

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This study was an attempt to add to existing research by estimating the ability of third-party examiners to assess whether or not an organization successfully implemented strategies based on the criteria of the Texas Award for Performance Excellence (TAPE). The TAPE is given each year by the Quality Texas Foundation and recognizes organizations that demonstrate superior performance as it is defined by customer satisfaction and continuous improvement. The TAPE is a state-level award for quality that uses the same criteria as the Malcolm Baldrige National Quality Award for Performance Excellence. This research was an analysis of the TAPE process at the level of examiners, also known as the Board of Examiners. The Board is made up of approximately 150 experienced professionals from several types of business sectors and is responsible for evaluating organizational self-assessments. In this quantitative study, data were converted from the Quality Texas Foundation into a database. Because the set of the TAPE applicants included in the study consisted of the entire population of TAPE applicants selected from 2001 to 2004, descriptive statistics were appropriate for producing informative data that could be analyzed for variation and stability in the scoring process. Exploration of patterns in descriptive statistics and multivariate analysis of variance were the primary tools used in this particular study along with Cronbach’s Alpha as an indicator of reliability. Since scoring for the TAPE is based on an individual examiner’s best subjective assessment, it was impossible to have one objective score against which all the other scores could be measured. The team consensus score was therefore used as the true score for measurement. Establishing reliability of examiners’ scores was a problem due to the fact that organizations and teams did not repeat. Results from the study led to the conclusion that there was insufficient evidence to make a determination on what influences examiners’ scoring consistency. More data will need to be collected in such a way so as to make it possible to identify that impact consistency of examiner scores.
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Sugiura, Taichi, Midori Asano, Kiyomi Miura, Ayako Ishiguro, and Shinpei Torii. "Development of the Revised Final Version of the Quality of Life of Japanese School Aged Children with Asthma Questionnaire : The Characteristics of the Low QOL Scoring Group and Development of an Evaluation Form." Japanese Society of Allergology, 2005. http://hdl.handle.net/2237/7105.

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Miller, Donna Marie. "Establishing Inter Rater Reliability of the National Early Warning Score." Walsh University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=walsh1429472548.

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Tudevdagva, Uranchimeg, and Wolfram Hardt. "A new evaluation model for e-learning programs." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-79228.

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This paper deals with a measure theoretical model for evaluation of e-learning programs. Based on methods of general measure theory an evaluation model is developed which can be used for assessment of complex target structures in context of e-learning programs. With the presented rating function target structures can be evaluated by a scoring value which indicates how the targets in sense of a given logical target structure has been reached. A procedure is developed for the estimation of scoring values for target structures based on adapted assessment checklists.
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Kroužková, Michaela. "Hodnocení rizik při financování retailové bankovní klientely." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224628.

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The theoretical part of thesis covers consumer credit, particular parts of credit process and credit registers. Analysis of credit risk management in a bank of concern, quality of credit portfolio and suggestion of changes in rating of retail receivables are dealt with in the practical part.
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Mwangi, François Ngera. "Land use practices and their impact on the water quality of the Upper Kuils River (Western Cape Province, South Africa)." Thesis, University of Western Cape, 2014. http://hdl.handle.net/11394/3366.

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>Magister Scientiae - MSc
The water quality in many Cape Town Rivers and streams is a major challenge. Kuils River is subject to multiple land use impacts from upstream to downstream because of rapid urbanization in its catchment area. The main pollution sources are urban and industrial, organic matter from litter under the road-bridge, and golf course. However no systematic efforts have been made to evaluate and improve the health of the river in term of management. To assess impacts on water quality, this study was conducted from 4th September to 27th November 2012 in 5 selected sites in the upper reach of the Kuils river. The main aim was to compare the health of the river in 2012 with that found in 2005 using physical and chemical characteristics and the South Africa Scoring System (SASS). The statistical analysis showed a significant difference between and within sites. The water temperature, pH, dissolved oxygen concentration, total dissolved solids (TDS), and salinity were collected in situ by YSI 30 meter. To evaluate nutrient (nitrate and phosphorus) concentrations water samples were analyzed at UWC laboratory using spectrophotometer. In addition human activities, basic conditions (7.13 to 8.76), high total dissolved solids (416 to to 916.5 mg L¯¹) and salinity (0.31 to 0.71 mg L¯¹) concentrations were influenced by Malmesbury shales. Nitrate (0.1 to 3.1 mg L¯¹) and phosphorus (0.11 to 5.27 mg L¯¹) concentrations and the decrease in dissolved oxygen in November 2012 showed eutrophic conditions of the river. In the tributary site phosphorus (1.32 to 3.62 mg L¯¹) concentrations revealed hypertrophic condition compared to South Africa guideline. Macroinvertebrates sampled showed a total of 28 taxa grouped in 11 orders were sampled. Poor habitat diversity and water quality degradation were principal causes of low species diversity. The South Africa Score System version 5 (SASS5) and Average Score per Taxon (ASPT) indicated that the river is seriously impacted in 2012 compared to 2005 where water quality was in poor condition. The SASS and the ASPT scores were less than 50 and 4.2 at all sampling sites in most part of sampling period.
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Farooqi, Owais Ehtisham. "An Assessment and Modeling of Copper Plumbing pipe Failures due to Pinhole Leaks." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33918.

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Pinhole leaks in copper plumbing pipes are a big concern for the homeowners. The problem is spread across the nation and remains a threat to plumbing systems of all ages. Due to the absence of a single acceptable mechanistic theory no preventive measure is available to date. Most of the present mechanistic theories are based on analysis of failed pipe samples however an objective comparison with other pipes that did not fail is seldom made. The variability in hydraulic and water quality parameters has made the problem complex and unquantifiable in terms of plumbing susceptibility to pinhole leaks. The present work determines the spatial and temporal spread of pinhole leaks across United States. The hotspot communities are identified based on repair histories and surveys. An assessment of variability in water quality is presented based on nationwide water quality data. A synthesis of causal factors is presented and a scoring system for copper pitting is developed using goal programming. A probabilistic model is presented to evaluate optimal replacement time for plumbing systems. Methodologies for mechanistic modeling based on corrosion thermodynamics and kinetics are presented.
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Books on the topic "Quality scoring"

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Company, Ford Motor. The quality system survey and scoring guidelines. Dearborn: Ford, 1990.

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Hospital accreditation program scoring guidelines. Chicago, Ill: Joint Commission on Accreditation of Hospitals, 1987.

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Joint Commission on Accreditation of Hospitals. Hospital accreditation program scoring guidelines: Medical staff standards. Chicago, Ill: Joint Commission on Accreditation of Hospitals, 1986.

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Federal Quality Institute (U.S.), ed. Criteria and scoring guidelines: The President's Award for Quality and Productivity Improvement. [Washington, D.C.?]: U.S. Office of Personnel Management, Federal Quality Institute, 1990.

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Hospital accreditation program scoring guidelines: Pathology & medical laboratory services standards. Chicago, Ill: Joint Commission on Accreditation of Hospitals, 1987.

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Vickrey, Barbara G. Qolie 89: Quality of life in epilepsy Qolie-89 : scoring manual and patient inventory. Santa Monica, CA: RAND, 1993.

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D, Hays Ron, and Rand Corporation, eds. Kidney disease quality of life short form (KDQOL-SF [superscript] tm), Version 1.2: A manual for use and scoring. Santa Monica, CA: RAND, 1996.

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D, Hays Ron, and Rand Corporation, eds. Kidney disease quality of life short form (KDQOL-SF [superscript] tm), Version 1.3: A manual for use and scoring. Santa Monica, Calif: RAND, 1997.

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Excellence in higher education: An integrated approach to assessment, planning, and improvement in colleges and universities : workbook and scoring instructions. Washington, D.C: National Association of College and University Business Officers, 2005.

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National Association of College and University Business Officers, ed. Excellence in higher education workbook and scoring guide: An integrated approach to assessment, planning and improvement in colleges and universities. 2nd ed. Washington, DC: NACUBO, 2009.

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Book chapters on the topic "Quality scoring"

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Wu, Chia-Huei, and Grace Yao. "Scoring Weights." In Encyclopedia of Quality of Life and Well-Being Research, 5729–31. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2611.

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Wu, Chia-Huei, and Grace Yao. "Scoring Weights." In Encyclopedia of Quality of Life and Well-Being Research, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-69909-7_2611-2.

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Wu, Chia-Huei, and Grace Yao. "Scoring Weights." In Encyclopedia of Quality of Life and Well-Being Research, 6202–4. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_2611.

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Dastidar, Krishnendu Ghosh. "On Some Aspects of Scoring Auctions." In Oligopoly, Auctions and Market Quality, 113–54. Tokyo: Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-55396-0_4.

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Blankenburg, Hagen, and Mario Albrecht. "PSISCORE (Quality Scoring of Protein Interactions)." In Encyclopedia of Systems Biology, 1801–2. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1464.

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Sharma, Ram Prakash, and Somnath Dey. "Fingerprint Image Quality Assessment and Scoring." In Mining Intelligence and Knowledge Exploration, 156–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71928-3_16.

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Zhang, Junbo, Fuping Pan, and Yongyong Yan. "Automatic Scoring on English Passage Reading Quality." In Lecture Notes in Computer Science, 18–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31020-1_3.

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Sharma, Ruchi, and R. K. Singh. "An Improved Scoring System for Software Vulnerability Prioritization." In Quality, IT and Business Operations, 33–43. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5577-5_3.

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Lewis-Jones, M. Susan, and Carolyn R. Charman. "Atopic Dermatitis: Scoring Severity and Quality of Life Assessment." In Harper's Textbook of Pediatric Dermatology, 29.1–29.16. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444345384.ch29.

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Zhang, Long, Haifeng Li, and Jianhua Wang. "Pronunciation Quality Scoring for Single Syllable Word in PSC." In Advances in Intelligent and Soft Computing, 313–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27866-2_38.

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Conference papers on the topic "Quality scoring"

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Gadepalli, Chaitanya, Farideh Jalalinajafabadi, Zheng Xie, Barry M. G. Cheetham, and Jarrod J. Homer. "Voice Quality Assessment by Simulating GRBAS Scoring." In 2017 UKSim-AMSS 11th European Modelling Symposium (EMS). IEEE, 2017. http://dx.doi.org/10.1109/ems.2017.29.

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Dong, Bin, Fengpei Ge, Fuping Pan, and Shui-duen Chan. "Automatic Scoring of Pronunciation Quality with Hybrid Measure." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.404.

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El Kabir, Taoufik, Benjamin Bringier, Majdi Khoudeir, Jean claude Lecron, Franck Morel, and Jean françois Jegou. "Non invasive control and scoring of psoriasis severity." In Fifteenth International Conference on Quality Control by Artificial Vision, edited by Christophe Cudel, Stéphane Bazeille, and Nicolas Verrier. SPIE, 2019. http://dx.doi.org/10.1117/12.2520690.

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Koolyk, Aaron, Tyrone Strangway, Omer Lev, and Jeffrey S. Rosenschein. "Convergence and Quality of Iterative Voting Under Non-Scoring Rules." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/39.

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Iterative voting is a social choice mechanism that assumes all voters are strategic, and allows voters to change their stated preferences as the vote progresses until an equilibrium is reached (at which point no player wishes to change their vote). Previous research established that this process converges to an equilibrium for the plurality and veto voting methods and for no other scoring rule. We consider iterative voting for non-scoring rules, examining the major ones, and show that none of them converge when assuming (as most research has so far) that voters pursue a best response strategy. We investigate other potential voter strategies, with a more heuristic flavor (since for most of these voting rules, calculating the best response is NP-hard); we show that they also do not converge. We then conduct an empirical analysis of the iterative voting winners for these non-scoring rules, and compare the winner quality of various strategies.
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Orzhenovskii, Mikhail. "RuSimScore: unsupervised scoring function for Russian sentence simplification quality." In Computational Linguistics and Intellectual Technologies. Russian State University for the Humanities, 2021. http://dx.doi.org/10.28995/2075-7182-2021-20-524-532.

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Zhang, Junbo, Hemin Wu, and Yonghong Yan. "Tone pronunciation quality scoring of Mandarin multi-syllable words." In 2010 10th International Conference on Signal Processing (ICSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icosp.2010.5656359.

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Liu, Xinyu, Xiaoqian Liu, Bin Wang, Xin Luo, and Xinshun Xu. "Arbitrary-Shaped Scene Text Detection with Scoring Mask Quality." In 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2022. http://dx.doi.org/10.1109/icme52920.2022.9859805.

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Elouataoui, Widad, Saida El Mendili, and Youssef Gahi. "Big Data Quality Anomaly Scoring Framework Using Artificial Intelligence." In 2023 7th IEEE Congress on Information Science and Technology (CiSt). IEEE, 2023. http://dx.doi.org/10.1109/cist56084.2023.10409909.

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Jain, Priyesh, Sunita Sarawagi, and Tushar Tomar. "Quality Scoring of Source Words in Neural Translation Models." In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.emnlp-main.732.

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Jones, Douglas A., and Gregory M. Rusk. "Toward a scoring function for quality-driven machine translation." In the 18th conference. Morristown, NJ, USA: Association for Computational Linguistics, 2000. http://dx.doi.org/10.3115/990820.990875.

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Reports on the topic "Quality scoring"

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Yaroshchuk, Svitlana O., Nonna N. Shapovalova, Andrii M. Striuk, Olena H. Rybalchenko, Iryna O. Dotsenko, and Svitlana V. Bilashenko. Credit scoring model for microfinance organizations. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3683.

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The purpose of the work is the development and application of models for scoring assessment of microfinance institution borrowers. This model allows to increase the efficiency of work in the field of credit. The object of research is lending. The subject of the study is a direct scoring model for improving the quality of lending using machine learning methods. The objective of the study: to determine the criteria for choosing a solvent borrower, to develop a model for an early assessment, to create software based on neural networks to determine the probability of a loan default risk. Used research methods such as analysis of the literature on banking scoring; artificial intelligence methods for scoring; modeling of scoring estimation algorithm using neural networks, empirical method for determining the optimal parameters of the training model; method of object-oriented design and programming. The result of the work is a neural network scoring model with high accuracy of calculations, an implemented system of automatic customer lending.
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Araujo, María Caridad, Yyannu Cruz-Aguayo, Pedro Carneiro, and Norbert Schady. Teacher Quality and Learning Outcomes in Kindergarten. Inter-American Development Bank, December 2016. http://dx.doi.org/10.18235/0011718.

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We assigned two cohorts of kindergarten students, totaling more than 24,000 children, to teachers within schools with a rule that is as-good-as-random. We collected data on children at the beginning of the school year, and applied 12 tests of math, language and executive function (EF) at the end of the year. All teachers were filmed teaching for a full day, and the videos were coded using a well-known classroom observation tool, the Classroom Assessment Scoring System (or CLASS). We find substantial classroom effects: A one-standard deviation increase in classroom quality results in 0.11, 0.11, and 0.07 standard deviation higher test scores in language, math, and EF, respectively. Teacher behaviors, as measured by the CLASS, are associated with higher test scores. Parents recognize better teachers, but do not change their behaviors appreciably to take account of differences in teacher quality .
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Bingham, Sonia, Craig Young, and Tanni Hubbard. Sentinel wetlands in Cuyahoga Valley National Park: II. Condition trends for wetlands of management concern, 2008?2018. National Park Service, 2023. http://dx.doi.org/10.36967/2301705.

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Twenty important management areas (wetlands of management concern) and reference wetlands compose the sentinel wetlands at Cuyahoga Valley National Park. These wetlands are monitored more intensively than other wetlands in the program. This is the second report in a two-part series, designed to summarize the results from intensive vegetation surveys completed at sentinel wetlands from 2008 to 2018. The first report (Bingham and Young 2023) characterized the conditions in each wetland and provided baseline reference information for other reports and site-specific projects. In this report, we examine results from five selected metrics more closely within and across three natural wetlands of management concern groups (restoration wetlands, mitigation wetlands, and rare habitat wetlands) using the reference wetlands as overall benchmarks. We used the Ohio Rapid Assessment Method (ORAM) to evaluate habitat in the sentinel wetlands. In addition, a total of 37 long-term sample plots were established within these wetlands to monitor biological conditions over time using vegetation as an indicator. Multiple plots were located in larger wetland complexes to capture spatial differences in condition. Vegetation was intensively surveyed within the plots using the Vegetation Index of Biotic Integrity (VIBI), where all plant species are identified to the lowest taxonomic level possible (genus or species). The sample plots were surveyed twice, and the five evaluation metrics included the VIBI score, Floristic Quality Assessment Index (FQAI), percent sensitive plant species, percent invasive graminoids, and species richness. For the analysis, VIBI plot locations were rank ordered based on their 2018 scores, the range and average for each metric was examined across the wetlands of management concern groups and plotted against reference wetlands for comparison, and the two survey years (pre-2015 and 2018) were plotted against each other for substantial changes from the established baseline. Across the sample plot locations, VIBI scores ranged from a low of 7 (Stanford Run SF1) to a high of 91 (Columbia Run 554). The top scoring plots were at four reference wetlands (Stumpy Basin 526, Virginia Kendall Lake 241K, Columbia Run 554, and Boston Mills 683) and one rare habitat wetland (Beaver Marsh BM3). All of these plots fell within an excellent condition range in one or both survey years. They each have unique habitats with some specialized plant species. The majority (24) of the sentinel wetlands plots ranked within the poor or fair ranges. These include the three mitigation wetlands: Brookside 968, Rockside RS2, and Krejci, as well as all plots within the Pleasant Valley and Stanford Run wetlands. Most of the large wetlands had dramatic condition differences within their boundaries? effected by pollution sources, land-use modifications, and/or invasive species in some areas more than others. We documented these wide condition ranges at Fawn Pond, Virginia Kendall Lake, Beaver Marsh and Stumpy Basin, but the most pronounced within-wetland differences were at Virginia Kendall Lake, which had a 58-point difference between the highest and lowest scoring plot. Fawn Pond is in good condition at most plots and scored very high in comparison to other wetlands within the riverine mainstem hydrogeomorphic class. The average and range of most metric scores were notably different across the four different wetlands groups. Average values at rare habitat wetlands plots were similar to reference plots for VIBI and FQAI scores, percent invasive graminoids, and percent sensitive metrics. Krejci KR1 and Fawn Pond FP3 had unusually high percent cover of sensitive species (31.0% and 27.9%, respectively) for the mitigation and restoration groupings. However, average overall metric scores across the restoration and mitigation wetlands were generally very low, with Stanford Run being the lowest scoring restoration wetland and Brookside being the lowest scoring mitigation wetland. With restoration efforts completed, the expectation is that mitigation wetlands should be performing much higher. Two of the three mitigation wetlands sites are not meeting the mitigation benchmarks that were created for them by the US Army Corp of Engineers and the Ohio Environmental Protection Agency. Contractor reports state that the wetlands met the criteria within the first five years of establishment. However, upon release from monitoring and maintenance, invasive species have gradually re-established, which has led to condition deterioration over time, and lower metric scores. VIBI scores stayed the same or improved (only slightly in many cases) in the majority of plots (67.6%) between survey years. The Krecji mitigation wetlands had the largest improvement in VIBI scoring. Scores at six plots decreased by at least 10 points from the baseline survey. Two of the park?s most beloved wetlands, Beaver Marsh (at one location) and the Stumpy Basin reference plot, had the two most notable declines in VIBI scores. In 2018, 11 plots (29.7%) had greater than 25% invasive graminoid cover (e.g. cattail, common reed grass, reed canary grass) and 18 plots (48.7%) experienced an increase in invasive graminoid cover between survey years. A marked increase (>10% cover) in invasive graminoids was documented at eight locations (Rockside 1079RS2, Beaver Marsh BM5, Fawn Pond FP3 and FP4, Brookside 968, Stumpy Basin SB1, and two other Pleasant Valley plots: 1049 and 969). These trends are likely to continue, and biological conditions are expected to deteriorate at these wetlands in response. Regardless of invasive species increases, many of the wetlands showed remarkable resilience over the last decade with fairly stable VIBI categories.
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Berkhout, Emilie, Goldy Dharmawan, Amanda Beatty, Daniel Suryadarma, and Menno Pradhan. Who Benefits and Loses from Large Changes to Student Composition? Assessing Impacts of Lowering School Admissions Standards in Indonesia. Research on Improving Systems of Education (RISE), April 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/094.

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We study the effects of an admission policy change that caused a massive shift in student composition in public and private junior secondary schools in Yogyakarta, Indonesia. In 2018, the primary criterion for admission into Yogyakarta’s 16 preferred, free public schools (grades 7-9) changed from a grade 6 exam score ranking to a neighborhood-to-school distance ranking. This policy change resulted in a decline in average grade 6 scores in public schools by 0.4 standard deviations (s.d.) and a 0.4 s.d. increase in private schools. We assessed learning impacts caused by the changed student composition by comparing two otherwise similar cohorts of students admitted before and after the policy change. Average grade 8 test scores across math and Indonesian declined by 0.08 s.d. (not significant). To understand which students throughout the education system gained and lost in terms of learning, we simulated public school access under the 2018 policy and its predecessor for both cohorts. In public schools, teachers attempted to adapt lessons to lower-scoring students by changing teaching approaches and tracking students. These responses and/or exposure to different peers negatively affected learning for students predicted to have access to public schools under both policies (-0.13 s.d., significant at the 10 percent level) and aided students with predicted public school access under the new policy slightly (0.12 s.d., not significant). These results are in contrast to existing literature which finds little or no impact from shifts in student composition on incumbent students’ learning. In private schools, we found no such adaptations and no effects on predicted incumbent students. However, students predicted to enter private schools under the new policy saw large negative effects (-0.24 s.d., significant), due to lower school quality and/or peer effects. Our results demonstrate that effects from high-performing, selective schools can be highly heterogenous and influenced by student composition.
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Berkhout, Emilie, Goldy Dharmawan, Amanda Beatty, Daniel Suryadarma, and Menno Pradhan. Who Benefits and Loses from Large Changes to Student Composition? Assessing Impacts of Lowering School Admissions Standards in Indonesia. Research on Improving Systems of Education (RISE), April 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/094.

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We study the effects of an admission policy change that caused a massive shift in student composition in public and private junior secondary schools in Yogyakarta, Indonesia. In 2018, the primary criterion for admission into Yogyakarta’s 16 preferred, free public schools (grades 7-9) changed from a grade 6 exam score ranking to a neighborhood-to-school distance ranking. This policy change resulted in a decline in average grade 6 scores in public schools by 0.4 standard deviations (s.d.) and a 0.4 s.d. increase in private schools. We assessed learning impacts caused by the changed student composition by comparing two otherwise similar cohorts of students admitted before and after the policy change. Average grade 8 test scores across math and Indonesian declined by 0.08 s.d. (not significant). To understand which students throughout the education system gained and lost in terms of learning, we simulated public school access under the 2018 policy and its predecessor for both cohorts. In public schools, teachers attempted to adapt lessons to lower-scoring students by changing teaching approaches and tracking students. These responses and/or exposure to different peers negatively affected learning for students predicted to have access to public schools under both policies (-0.13 s.d., significant at the 10 percent level) and aided students with predicted public school access under the new policy slightly (0.12 s.d., not significant). These results are in contrast to existing literature which finds little or no impact from shifts in student composition on incumbent students’ learning. In private schools, we found no such adaptations and no effects on predicted incumbent students. However, students predicted to enter private schools under the new policy saw large negative effects (-0.24 s.d., significant), due to lower school quality and/or peer effects. Our results demonstrate that effects from high-performing, selective schools can be highly heterogenous and influenced by student composition.
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Zhang, Yongping, Carol Kachadoorian, Wen Cheng, and Edward Clay. Enhancing Older Adults’ Mobility in Active Living and Tiered Living Communities. Mineta Transportation Institute, June 2023. http://dx.doi.org/10.31979/mti.2023.2159.

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The U.S. population is aging rapidly. As people get older, they increasingly face issues such as increased susceptibility to injuries and the need to be assisted with many day-to-day activities. Older adults have the opportunity to opt-in to live in an older adult community (OAC) based on their needs and capabilities. This study comprehensively reviews existing governing development regulations and design criteria related to the older adults’ communities, conducts surveys among people involved with some of these communities in California, and recommends improvements to community design for active living and tiered living communities. This study proposes a new scoring system to evaluate the overall life-space mobility of OACs and the surrounding areas. For each of the ten communities within California, the area's Active Mobility Infrastructure (AMI), both inside and outside, and Permeability (PERM) are assessed. Furthermore, the study aims to comprehend how residents feel about the available facilities and how they are utilized through a survey that includes questions regarding how frequently residents partake in active transportation within and outside their communities and assesses residents’ financial and educational standings. Using Welch’s T-Test, Pearson’s Correlation Coefficient, and a Multinomial Logit Regression model, this study addresses three questions: (1) Are there any statistically significant differences in the transportation connection qualities within and surrounding the older adult communities perceived by their residents? (2) Are there strong correlations between the quality of transport connections and the walking frequency of the residents? (3) What are the main influential factors of walking frequency? The findings from this research can aid transportation professionals in improving the governing development regulations and associated design criteria for better person-environment fit in older living communities.
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Bingham, Sonia, and Craig Young. Sentinel wetlands in Cuyahoga Valley National Park: I. Ecological characterization and management insights, 2008–2018. Edited by Tani Hubbard. National Park Service, February 2023. http://dx.doi.org/10.36967/2296885.

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Sentinel wetlands at Cuyahoga Valley National Park (NP) comprise a set of twenty important management areas and reference sites. These wetlands are monitored more closely than other wetlands in the wetlands monitoring program and are the focus of the volunteer monitoring program for water levels. We used the Ohio Rapid Assessment Method (ORAM) to evaluate habitat in the sentinel wetlands. A total of 37 long-term sample plots have been established within these wetlands to monitor biological condition over time using vegetation as an indicator. Vegetation is intensively surveyed using the Vegetation Index of Biotic Integrity (VIBI), where all plant species within the plot are identified to the lowest taxonomic level possible (genus or species). Sample plots were surveyed twice from 2008 to 2018 and the vegetation data were evaluated using five metrics: VIBI, Floristic Quality Assessment Index (FQAI), percent sensitive plant species, percent invasive graminoids, and species richness. These metrics are discussed for each location. This report also highlights relevant land use histories, common native plant species, and invasive species of concern at each wetland. This is the first report in a two-part series, designed to summarize the results from intensive vegetation surveys completed at sentinel wetlands in 2008–2018. Boston Mills, Virginia Kendall Lake, Stumpy Basin, Columbia, and Beaver Marsh are all in excellent condition at one or more plots. They have unique habitats with some specialized plant species. Fawn Pond is in good condition at most plots and scores very high in comparison to other wetlands within the riverine mainstem hydrogeomorphic class. Metric scores across mitigation wetlands were low. Two of the three wetlands (Brookside and Rockside) are not meeting the benchmarks originally established by the United States Army Corps of Engineers and Ohio Environmental Protection Agency. Krejci is still a young mitigation site and success will be determined over time. Park-supported invasive species control efforts will be crucial for long-term success of these sites and future mitigation/restoration projects. The wetlands monitored because of proposed ecological restoration projects (Pleasant Valley, Stanford, and Fawn Pond) have extensive invasive plant communities. These restoration sites should be re-evaluated for their feasibility and potential success and given an order of prioritization relative to the newer list of restoration sites. Cuyahoga Valley NP has added many new areas to their list of potential wetland restoration sites after these areas were selected, and there may be better opportunities available based on restoration objectives. Restoration goals should be based on the park's desired future conditions, and mitigation goals of outside partners may not always be in line with those. The multiple VIBI plots dispersed throughout the large wetlands at Cuyahoga Valley NP detected and illuminated spatial patterns in condition. Many individual wetlands had a wide range of VIBI scores within their boundaries, sometimes reflecting localized disturbances, past modifications, and management actions. Most often, these large fluctuations in condition were linked to local invasive plant infestations. These infestations appear to be the most obvious and widespread threat to wetland ecosystems within the park, but also the most controllable threat. Some sensitive species are still present in some of the lowest scoring plots, which indicates that invasive plant species control efforts may pay off immediately with a resurgence of native communities. Invasive plant control at rare habitat sites would have large payoffs over time by protecting some of the park's most unique wetlands. Reference wetlands would also be good demonstration sites for park managers to try to maintain exemplary conditions through active management. Through this work, park managers can evaluate the feasibility, effectiveness, and scalability of management practices required to maintain wetland condition.
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Dick, Warren, Yona Chen, and Maurice Watson. Improving nutrient availability in alkaline coal combustion by-products amended with composted animal manures. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7587240.bard.

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Hypothesis and Objectives: We hypothesized that coal combustion products (CCPs), including those created during scrubbing of sulfur dioxide from flue gases, can be used alone or mixed with composted animal manures as effective growth media for plants. Our specific objectives were, therefore, to (1) measure the chemical, physical and hydraulic properties of source materials and prepared mixes, (2) determine the optimum design mix of CCPs and composted animal manures for growth of plants, (3) evaluate the leachate water quality and plant uptake of selected elements from prepared mixes, (4) quantify the interaction between composted animal manures and B concentrations in the mixes, (5) study the availability of P to plants growing in the mixes, and (6) determine the microbial community and siderophores involved in the solubilization of Fe and its transfer to plants. Background: In recent years a major expansion of electricity production by coal combustion has taken place in Israel, the United States and the rest of the world. As a result, a large amount of CCPs are created that include bottom ash, fly ash, flue gas desulfurization (FGD) gypsum and other combustion products. In Israel 100,000 tons of fly ash (10% of total CCPs) are produced each year and in the US a total of 123 million tons of CCPs are produced each year with 71 million tons of fly ash, 18 million tons of bottom ash and 12 million tons of FGD gypsum. Many new scrubbers are being installed and will come on-line in the next 2 to 10 years and this will greatly expand the amount of FGD gypsum. One of the main substrates used in Israel for growth media is volcanic ash (scoria; tuff). The resemblance of bottom coal ash to tuff led us to the assumption that it is possible to substitute tuff with bottom ash. Similarly, bottom ash and FGD gypsum were considered excellent materials for creating growth mixes for agricultural and nursery production uses. In the experiments conducted, bottom ash was studied in Israel and bottom ash, fly ash and FGD gypsum was studied in the US. Major Achievements: In the US, mixes were tested that combine bottom ash, organic amendments (i.e. composts) and FGD gypsum and the best mixes supported growth of tomato, wheat and marigolds that were equal to or better than two commercial mixes used as a positive control. Plants grown on bottom ash in Israel also performed very well and microelements and radionuclides analyses conducted on plants grown on bottom coal ash proved it is safe to ingest the edible organs of these plants. According to these findings, approval to use bottom coal ash for growing vegetables and fruits was issued by the Israeli Ministry of Health. Implications: Bottom coal ash is a suitable substitute for volcanic ash (scoria; tuff) obtained from the Golan Heights as a growth medium in Israel. Recycling of bottom coal ash is more environmentally sustainable than mining a nonrenewable resource. The use of mixes containing CCPs was shown feasible for growing plants in the United States and is now being evaluated at a commercial nursery where red sunset maple trees are being grown in a pot-in-pot production system. In addition, because of the large amount of FGD gypsum that will become available, its use for production of agronomic crops is being expanded due to success of this study.
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9

Dick, Warren, Yona Chen, and Maurice Watson. Improving nutrient availability in alkaline coal combustion by-products amended with composted animal manures. United States Department of Agriculture, December 2006. http://dx.doi.org/10.32747/2006.7695883.bard.

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Hypothesis and Objectives: We hypothesized that coal combustion products (CCPs), including those created during scrubbing of sulfur dioxide from flue gases, can be used alone or mixed with composted animal manures as effective growth media for plants. Our specific objectives were, therefore, to (1) measure the chemical, physical and hydraulic properties of source materials and prepared mixes, (2) determine the optimum design mix of CCPs and composted animal manures for growth of plants, (3) evaluate the leachate water quality and plant uptake of selected elements from prepared mixes, (4) quantify the interaction between composted animal manures and B concentrations in the mixes, (5) study the availability of P to plants growing in the mixes, and (6) determine the microbial community and siderophores involved in the solubilization of Fe and its transfer to plants. Background: In recent years a major expansion of electricity production by coal combustion has taken place in Israel, the United States and the rest of the world. As a result, a large amount of CCPs are created that include bottom ash, fly ash, flue gas desulfurization (FGD) gypsum and other combustion products. In Israel 100,000 tons of fly ash (10% of total CCPs) are produced each year and in the US a total of 123 million tons of CCPs are produced each year with 71 million tons of fly ash, 18 million tons of bottom ash and 12 million tons of FGD gypsum. Many new scrubbers are being installed and will come on-line in the next 2 to 10 years and this will greatly expand the amount of FGD gypsum. One of the main substrates used in Israel for growth media is volcanic ash (scoria; tuff). The resemblance of bottom coal ash to tuff led us to the assumption that it is possible to substitute tuff with bottom ash. Similarly, bottom ash and FGD gypsum were considered excellent materials for creating growth mixes for agricultural and nursery production uses. In the experiments conducted, bottom ash was studied in Israel and bottom ash, fly ash and FGD gypsum was studied in the US. Major Achievements: In the US, mixes were tested that combine bottom ash, organic amendments (i.e. composts) and FGD gypsum and the best mixes supported growth of tomato, wheat and marigolds that were equal to or better than two commercial mixes used as a positive control. Plants grown on bottom ash in Israel also performed very well and microelements and radionuclides analyses conducted on plants grown on bottom coal ash proved it is safe to ingest the edible organs of these plants. According to these findings, approval to use bottom coal ash for growing vegetables and fruits was issued by the Israeli Ministry of Health. Implications: Bottom coal ash is a suitable substitute for volcanic ash (scoria; tuff) obtained from the Golan Heights as a growth medium in Israel. Recycling of bottom coal ash is more environmentally sustainable than mining a nonrenewable resource. The use of mixes containing CCPs was shown feasible for growing plants in the United States and is now being evaluated at a commercial nursery where red sunset maple trees are being grown in a pot-in-pot production system. In addition, because of the large amount of FGD gypsum that will become available, its use for production of agronomic crops is being expanded due to success of this study.
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