scholarly journals Partial Dependency of Vowel Reduction on Stress Shift: Evidence from English -ion Nominalization

2021 ◽  
Vol 9 ◽  
Author(s):  
Yuhan Zhang
Keyword(s):  
Theoretical Analysis ◽  
Statistical Model ◽  
Quantitative Study ◽  
Large Data ◽  
Vowel Reduction ◽  
Complete Understanding ◽  
Shift Pattern ◽  
Exhaustive List

While classic theories utilize the comparison between cómp[ɛ]nsate going to comp[ə]nsátion and cond[ɛ́]nse going to cond[ɛ]nsátion to argue that stressed vowels are immune to reduction in multiple affixations (e.g., SPE), this paper presents a corpus-based case study that looks into this quantitative interaction between vowel reduction and stress shift during English -ion nominalization and offers discoveries that go against the classic claim. After analyzing 1,047 verb-noun target pairs extracted from the CELEX2 dictionary corpus, this study claims that vowel reduction only partially depends on its stress-bearing feature and that the suffix type, the stress shift pattern, vowel tenseness, and crucially some lexically specific constraints also predict vowel reduction. This finding is further supported by an OT analysis and a statistical model. As a quantitative study that relies on an exhaustive list of English samples to derive theoretical analysis, this research not only provides new insights into this long-lasting debate but also aims to highlight the significance of incorporating large data samples for a complete understanding of phonological phenomena.

Evaluating the Cognitive Interviewing Reporting Framework (CIRF) by Rewriting a Dutch Pretesting Report of a European Health Survey Questionnaire *The views expressed in this paper are those of the authors and do not necessarily reflect the policies of Statistics Netherlands.

Methodology ◽  
2013 ◽  
Vol 9 (3) ◽  
pp. 104-112 ◽  
Author(s):  
Rachel Vis-Visschers ◽  
Vivian Meertens
Keyword(s):  
Health Survey ◽  
Cognitive Interviewing ◽  
Survey Questionnaire ◽  
Reporting Framework ◽  
Research Designs ◽  
European Health ◽  
Original Report ◽  
Minimal Standard ◽  
Exhaustive List

We used the Cognitive Interviewing Reporting Framework (CIRF) to restructure the report of a pretest on a European health survey questionnaire. This pretest was conducted by the Questionnaire Laboratory of Statistics Netherlands, and the original report was written according to a standard Statistics Netherlands format for pretesting reports. This article contains the rewritten report with highlights from the case study. The authors reflect on the process of rewriting and the usefulness of the CIRF. We conclude that expanded use of the CIRF as a reporting format for articles on cognitive pretests would enhance international comparability, completeness, and uniformity of research designs, terminology, and reporting. A limitation of the CIRF is that it does not provide an exhaustive list of items that could be included in a report, but it is more a “minimal standard”: that is a report on how a cognitive pretest was conducted should at least contain a description of the CIRF items.

scholarly journals A Statistical Model for Assessing Sample Size for Bacterial Colony Selection: A Case Study of Escherichia Coli and Avian Cellulitis

2000 ◽  
Vol 12 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Randall S. Singer ◽  
Wesley O. Johnson ◽  
Joan S. Jeffrey ◽  
Richard P. Chin ◽  
Tim E. Carpenter ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Statistical Model ◽  
Clinical Sample ◽  
Agar Plate ◽  
Sample Sizes ◽  
Simple Task ◽  
Single Strain ◽  
Bacterial Colony ◽  
E Coli

A general problem for microbiologists is determining the number of phenotypically similar colonies growing on an agar plate that must be analyzed in order to be confident of identifying all of the different strains present in the sample. If a specified number of colonies is picked from a plate on which the number of unique strains of bacteria is unknown, assigning a probability of correctly identifying all of the strains present on the plate is not a simple task. With Escherichia coli of avian cellulitis origin as a case study, a statistical model was designed that would delineate sample sizes for efficient and consistent identification of all the strains of phenotypically similar bacteria in a clinical sample. This model enables the microbiologist to calculate the probability that all of the strains contained within the sample are correctly identified and to generate probability-based sample sizes for colony identification. The probability of cellulitis lesions containing a single strain of E. coli was 95.4%. If one E. coli strain is observed out of three colonies randomly selected from a future agar plate, the probability is 98.8% that only one strain is on the plate. These results are specific for this cellulitis E. coli scenario. For systems in which the number of bacterial strains per sample is variable, this model provides a quantitative means by which sample sizes can be determined.

scholarly journals Machine Learning Improves the Precision and Robustness of High-Content Screens

2011 ◽  
Vol 16 (9) ◽  
pp. 1059-1067 ◽  
Author(s):  
Peter Horvath ◽  
Thomas Wild ◽  
Ulrike Kutay ◽  
Gabor Csucs
Keyword(s):  
Machine Learning ◽  
User Interaction ◽  
Texture Features ◽  
Large Data ◽  
Complete Analysis ◽  
Data Sets ◽  
Reporter Protein ◽  
Fluorescent Intensity ◽  
Analysis Workflow

Imaging-based high-content screens often rely on single cell-based evaluation of phenotypes in large data sets of microscopic images. Traditionally, these screens are analyzed by extracting a few image-related parameters and use their ratios (linear single or multiparametric separation) to classify the cells into various phenotypic classes. In this study, the authors show how machine learning–based classification of individual cells outperforms those classical ratio-based techniques. Using fluorescent intensity and morphological and texture features, they evaluated how the performance of data analysis increases with increasing feature numbers. Their findings are based on a case study involving an siRNA screen monitoring nucleoplasmic and nucleolar accumulation of a fluorescently tagged reporter protein. For the analysis, they developed a complete analysis workflow incorporating image segmentation, feature extraction, cell classification, hit detection, and visualization of the results. For the classification task, the authors have established a new graphical framework, the Advanced Cell Classifier, which provides a very accurate high-content screen analysis with minimal user interaction, offering access to a variety of advanced machine learning methods.

scholarly journals What is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory

2020 ◽  
Author(s):  
Ian Lundberg ◽  
Rebecca Johnson ◽  
Brandon Stewart
Keyword(s):  
Statistical Analysis ◽  
Statistical Model ◽  
Quantitative Study ◽  
Statistical Evidence ◽  
Similar Degree ◽  
Research Practice

We make only one point in this article. Every quantitative study must be able to answer the question: what is your estimand? The estimand is the target quantity—the purpose of the statistical analysis. Much attention is already placed on how to do estimation; a similar degree of care should be given to defining the thing we are estimating. We advocate that authors state the central quantity of each analysis—the theoretical estimand—in precise terms that exist outside of any statistical model. In our framework, researchers do three things: (1) set a theoretical estimand, clearly connecting this quantity to theory, (2) link to an empirical estimand, which is informative about the theoretical estimand under some identification assumptions, and (3) learn from data. Adding precise estimands to research practice expands the space of theoretical questions, unlocks new tools with which to answer them, and heightens clarity about the link between theory and evidence.

scholarly journals ILLUSORY RESTITUTION OF NOT PRESERVED ARCHITECTURAL OBJECTS – AN ANALYSIS OF METHODS AND A CASE STUDY

space&FORM ◽  
2021 ◽  
Vol 2021 (47) ◽  
pp. 83-104
Author(s):  
Maciej Piekarski ◽  
◽  
Ewa Kulpińska ◽  
Anna Prokop ◽  
◽  
...  
Keyword(s):  
Augmented Reality ◽  
Theoretical Analysis ◽  
Advantages And Disadvantages ◽  
Conservation Method ◽  
Specific Conservation

The article concerns the illusory presentation of non-existent architectural objects directly in the place of their original location. This specific conservation method is considered as a tool for disseminating knowledge about the original architectural landscape of places where it has undergone transformations. The authors believe that its implementation may contribute to the growth of the identity of cities and their inhabitants. The concept refers to augmented reality, but the authors use only optical means to create a virtual component, The article presents the results of theoretical analysis and practical experiments, pointing to the advantages and disadvantages of the method.

scholarly journals The Question of Religion in T. S. Eliot’s Poetry: “Ash-Wednesday” as a Case Study

2019 ◽  
Vol 7 (11) ◽  
pp. 12
Author(s):  
Mohammed Bassou
Keyword(s):  
Theoretical Analysis ◽  
Religion And Literature ◽  
Devotional Poetry ◽  
Do So

This article puts under scrutiny the religious manifestations in Eliot’s devotional poetry and the meditative questions that he raises. To do so, it limits the scope of my analytical reading to one of his well-known meditative poems, “Ash-Wednesday.”  I shall start with a theoretical analysis of his famous article, “Religion and Literature” and argue for the presence of its milestone ideas in Eliot’s poetry taking “Ash-Wednesday as a case study.” The study also discerns Eliot’s renunciation of the main tenets of Romanticism which he made use of before his conversion.

scholarly journals Uticaj nacionalne kulture na organizacionu strukturu preduzeca u Srbiji

2003 ◽  
Vol 44 (156) ◽  
pp. 45-66 ◽  
Author(s):  
Nebojsa Janicijevic
Keyword(s):  
Organizational Structure ◽  
National Culture ◽  
Holistic Approach ◽  
Organizational Restructuring ◽  
Complete Understanding ◽  
Main Hypothesis ◽  
Low Degree ◽  
High Degree ◽  
Female Values

The paper aims to point out the limitations of the partial and the need for a holistic approach to researching the influences of national culture on the management. Using the case study of organizational restructuring of Serbian enterprises, the paper shows how the complete understanding of the influences of national culture on management will be possible only if all dimensions of the national culture are simultaneously included in the analysis. The main hypothesis of the paper is that the low degree of formalization of Serbian companies' organizational structure, even with a high degree of uncertainty avoidance in Serbian national culture, results from the forces of collectivism and "female" values in this culture.

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