997 resultados para Scaling process


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This paper establishes a general framework for metric scaling of any distance measure between individuals based on a rectangular individuals-by-variables data matrix. The method allows visualization of both individuals and variables as well as preserving all the good properties of principal axis methods such as principal components and correspondence analysis, based on the singular-value decomposition, including the decomposition of variance into components along principal axes which provide the numerical diagnostics known as contributions. The idea is inspired from the chi-square distance in correspondence analysis which weights each coordinate by an amount calculated from the margins of the data table. In weighted metric multidimensional scaling (WMDS) we allow these weights to be unknown parameters which are estimated from the data to maximize the fit to the original distances. Once this extra weight-estimation step is accomplished, the procedure follows the classical path in decomposing a matrix and displaying its rows and columns in biplots.

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Sarcosaprophagous macroinvertebrates (earthworms, termites and a number of Diptera larvae) enhance changes in the physical and chemical properties of organic matter during degradation and stabilization processes in composting, causing a decrease in the molecular weights of compounds. This activity makes these organisms excellent recyclers of organic matter. This article evaluates the succession of insects associated with the decomposition of solid urban waste separated at the source. The study was carried out in the city of Medellin, Colombia. A total of 11,732 individuals were determined, belonging to the classes Insecta and Arachnida. Species of three orders of Insecta were identified, Diptera, Coleoptera and Hymenoptera. Diptera corresponding to 98.5% of the total, was the most abundant and diverse group, with 16 families (Calliphoridae, Drosophilidae, Psychodidae, Fanniidae, Muscidae, Milichiidae, Ulidiidae, Scatopsidae, Sepsidae, Sphaeroceridae, Heleomyzidae, Stratiomyidae, Syrphidae, Phoridae, Tephritidae and Curtonotidae) followed by Coleoptera with five families (Carabidae, Staphylinidae, Ptiliidae, Hydrophilidae and Phalacaridae). Three stages were observed during the composting process, allowing species associated with each stage to be identified. Other species were also present throughout the whole process. In terms of number of species, Diptera was the most important group observed, particularly Ornidia obesa, considered a highly invasive species, and Hermetia illuscens, both reported as beneficial for decomposition of organic matter.

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This paper argues that any specific utility or disutility for gamblingmust be excluded from expected utility because such a theory is consequentialwhile a pleasure or displeasure for gambling is a matter of process, notof consequences. A (dis)utility for gambling is modeled as a process utilitywhich monotonically combines with expected utility restricted to consequences.This allows for a process (dis)utility for gambling to be revealed. Asan illustration, the model shows how empirical observations in the Allaisparadox can reveal a process disutility of gambling. A more general modelof rational behavior combining processes and consequences is then proposedand discussed.

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The examinations taken by high-school graduates in Spain and the role ofthe examination in the university admissions process are described. Thefollowing issues arising in the assessment of the process are discussed:reliability of grading, comparability of the grades and scores(equating),maintenance of standards, and compilation and use of the grading process,and their integration in the operational grading are proposed. Variousschemes for score adjustment are reviewed and feasibility of theirimplementation discussed. The advantages of pretesting of items and ofempirical checks of experts' judgements are pointed out. The paperconcludes with an outline of a planned reorganisation of the highereducation in Spain, and with a call for a comprehensive programme ofempirical research concurrent with the operation of the examination andscoring system.

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Dual scaling of a subjects-by-objects table of dominance data (preferences,paired comparisons and successive categories data) has been contrasted with correspondence analysis, as if the two techniques were somehow different. In this note we show that dual scaling of dominance data is equivalent to the correspondence analysis of a table which is doubled with respect to subjects. We also show that the results of both methods can be recovered from a principal components analysis of the undoubled dominance table which is centred with respect to subject means.

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The available literature on the writing characteristics and best practices to teach writing to English Language Learners who also present some disability is scarce. In order to understand and provide some insight on the developments in this field, I propose an adaptation of the Process Writing Approach based on a literature review of the existing bibliography about the writing characteristics of English Language Learners, Special Needs Learners, and English Language Learners with Special Needs’ writing, the effects of the Process Writing Approach in teaching writing to these groups, and the use of visuals in writing instruction. The main assumptions of this study are: a) The Process Writing Approach provides an opportunity to differentiate instruction to ELLs with special needs and gives them additional opportunities to bring their funds of knowledge to the classroom, improving their writing, and b) By allowing students to rely on visuals in different phases of the writing process teachers will be addressing the needs of both visual and verbal learners, therefore allowing students more options to develop writing skills. The main pedagogical implication is that by dividing writing in recursive stages and inserting visuals as scaffolding throughout the entire writing process, teachers will provide an alternative approach to writing instruction that may be more effective to English Language Learners with Special Needs.

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Two methods were evaluated for scaling a set of semivariograms into a unified function for kriging estimation of field-measured properties. Scaling is performed using sample variances and sills of individual semivariograms as scale factors. Theoretical developments show that kriging weights are independent of the scaling factor which appears simply as a constant multiplying both sides of the kriging equations. The scaling techniques were applied to four sets of semivariograms representing spatial scales of 30 x 30 m to 600 x 900 km. Experimental semivariograms in each set successfully coalesced into a single curve by variances and sills of individual semivariograms. To evaluate the scaling techniques, kriged estimates derived from scaled semivariogram models were compared with those derived from unscaled models. Differences in kriged estimates of the order of 5% were found for the cases in which the scaling technique was not successful in coalescing the individual semivariograms, which also means that the spatial variability of these properties is different. The proposed scaling techniques enhance interpretation of semivariograms when a variety of measurements are made at the same location. They also reduce computational times for kriging estimations because kriging weights only need to be calculated for one variable. Weights remain unchanged for all other variables in the data set whose semivariograms are scaled.

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Accomplish high quality of final products in pharmaceutical industry is a challenge that requires the control and supervision of all the manufacturing steps. This request created the necessity of developing fast and accurate analytical methods. Near infrared spectroscopy together with chemometrics, fulfill this growing demand. The high speed providing relevant information and the versatility of its application to different types of samples lead these combined techniques as one of the most appropriated. This study is focused on the development of a calibration model able to determine amounts of API from industrial granulates using NIR, chemometrics and process spectra methodology.

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El presente documento ilustra la aplicación de la metodología Business Process Managementpara el caso de una empresa multinacional del sector de la electrónica. Para ello se han tomado los procesos excepcionales de Supply Chain Operations en el área EMEA (Europa, Oriente Medio y África). Se ha analizado la situación inicial, donde la aparición de incidencias de calidad en productos terminados y listos para entregar a clientes generaba una serie de acciones descoordinadas y con resultados insatisfactorios. Todos los departamentos implicados comprometían recursos, tiempo y esfuerzo, sin estar alineados entre sí. A partir de la aplicación sistemática de la metodología BPM definida en 10 fases, se ha desarrollado una solución completa para los procesos excepcionales. El documento describe con detalle en proceso de Reflash y la documentación necesaria para poner el proceso bajo control y en mejora continua.

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