scholarly journals De dynamiek van geslachtsmarkering in de Noord-Brabantse dialecten

2021 ◽  
Vol 72 (1) ◽  
pp. 69-116 ◽  
Author(s):  
Kristel Doreleijers ◽  
Marjo van Koppen ◽  
Jos Swanenberg
Keyword(s):  
Quantitative Analysis ◽  
Identity Formation ◽  
Identity Construction ◽  
Regional Identity ◽  
Future Research ◽  
Variation Patterns ◽  
Speech Data ◽  
Depth Study ◽  
High Level ◽  
Masculine Gender

Abstract The present paper discusses gender marking, i.e. the morphological marking of masculine, feminine and neuter lexical gender in the adnominal domain, in Brabantish dialects spoken in the southern Dutch province North-Brabant. Gender markers belong to the most salient features of North-Brabantish, but with a process of dialect levelling well on its way for at least fifty years, knowledge of lexical gender is fading away. This study delves into these variation patterns. The results of a quantitative analysis of written questionnaires (mainly filled out by elderly dialect speakers, N=700) triggered us to conduct a small in-depth study of speech data from adolescents in the Eindhoven region (N=15). Based on these data, we argue that there is a high level of heterogeneity when it comes to adnominal gender marking.In this paper, we aim at describing and categorizing the various types of variation. The data includes omissions of the traditional Brabantish masculine gender marking, indicating that speakers are converging towards Standard Dutch. However, the data also reveals that in 30% of all utterances speakers apply gender marking in multiple ways. We find three types of variation: 1) masculine gender marking is only partly applied in comparison to the traditional rules of dialect grammar (compromise-constructions), 2) masculine gender markers appear in noun groups where they should not appear according to the dialect grammar (e.g. feminine, neuter, plural), so-called hyperdialectisms, and 3) speakers use innovative gender marking constructions: accumulate forms with two masculine suffixes, so-called hypermarkings. Based on previous research, we argue that typical dialect features, such as gender markers, are part of a regional speech style and play an important role in identity formation. As shibboleths of such a speech style, gender markers are over-generalized by speakers who want to profile themselves as ‘genuinely’ Brabantish. Also, individual patterns of gender marking indicate that salience in non-canonical sentence structures (e.g. focus) might be an important factor when it comes to emphasizing a deviation from the standard language, in line with (regional) identity construction through the use of shibboleths. Future research is necessary to validate these initial findings.

From Upland to Lowland: Karen Learners’ Positioning and Identity Construction through Language Socialization in the Thai Classroom Context

2020 ◽  
Author(s):  
Nopthira Jawaut ◽  
◽  
Remart Dumlao ◽  
Keyword(s):  
Identity Formation ◽  
Ethnic Groups ◽  
Identity Construction ◽  
Cultural Policy ◽  
Language Socialization ◽  
Negotiation Process ◽  
Future Research ◽  
Learning Context ◽  
Structured Interviews ◽  
Context Of Learning

Karen (or Kariang or Yang) are a group of heterogeneous ethnic groups that do not share common culture, language, religion, or material characteristics, and who live mostly in the hills bordering the mountainous region between Myanmar and neighboring countries (Fratticcioli 2001; Harriden 2002). Some of these groups have migrated to Thailand’s borders. Given these huge numbers of migrant Karens, there is a paucity of research and understanding of how Karen learners from upland ethnic groups negotiate and construct their identities when they socialize with other lowland learners. This paper explores ways in which Karen learners negotiate and construct their identities through language socialization in the Thai learning context. The study draws on insights from discourse theory and ecological constructionism in order to understand the identity and negotiation process of Karen learners at different levels of identity construction. Multiple semi-structured interviews were conducted to gain deeper understandings of this phenomenon between ethnicity and language socialization. The participants were four Karen learners who were studying in a Thai public university. Findings suggest that Karen learners experience challenges in forming their identity and in negotiating their linguistic capital in learning contexts. The factors influencing these perceptions seemed to emanate from the stakeholders and the international community, which played significant roles in the context of learning. The findings also reflect that Karen learner identity formation and negotiation in language socialization constitutes a dynamic and complex process involving many factors and incidences, discussed in the present study. The analysis presented has implications for immigration, mobility, language, and cultural policy, as well as for future research.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

An Ever Further Apart Union? National and European Attachments in the European Union

2006 ◽  
Author(s):  
Tracey Raney
Keyword(s):  
European Union ◽  
Identity Formation ◽  
Identity Construction ◽  
Political Institutions ◽  
Active Role ◽  
The Political ◽  
The European Union ◽  
Political Identities ◽  
Political Identification ◽  
The Eu

This paper is about the ways that citizens perceive their place in the political world around them, through their political identities. Using a combination of comparative and quantitative methodologies, the study traces the pattern of citizens’ political identifications in the European Union and Canada between 1981 and 2003 and explains the mechanisms that shape these political identifications. The results of the paper show that in the EU and Canada identity formation is a process that involves the participation of both individuals and political institutions yet between the two, individuals play a greater role in identity construction than do political institutions. The paper argues that the main agents of political identification in the EU and Canada are citizens themselves: individuals choose their own political identifications, rather than acquiring identities that are pre-determined by historical or cultural precedence. The paper makes the case that this phenomenon is characteristic of a rise of ‘civic’ identities in the EU and Canada. In the European Union, this overarching ‘civic’ identity is in its infancy compared to Canada, yet, both reveal a new form of political identification when compared to the historical and enduring forms of cultural identities firmly entrenched in Europe. The rise of civic identities in both the EU and Canada is attributed to the active role that citizens play in their own identity constructions as they base their identifications on rational assessments of how well political institutions function, and whether their memberships in the community will benefit them, rather than on emotional factors rooted in religion or race. In the absence of strongly held emotional identifications, in the EU and Canada political institutions play a passive role in identity construction by making the community appear more entitative to its citizens. These findings offer new theoretical scope to the concept of civic communities and the political identities that underpin them. The most important finding presented in the paper is that although civic communities and identities are manufactured by institutions and political elites (politicians and bureaucrats), they require thinking citizens, not feeling ones, to be sustained.   Full text available at: https://doi.org/10.22215/rera.v2i4.179

scholarly journals Opportunities and Challenges of Green-Lean: An Integrated System for Sustainable Construction

2020 ◽  
Vol 12 (11) ◽  
pp. 4460 ◽  
Author(s):  
Mohammadsoroush Tafazzoli ◽  
Ehsan Mousavi ◽  
Sharareh Kermanshachi
Keyword(s):  
Cost Savings ◽  
Integrated Approach ◽  
Integrated System ◽  
Waste Minimization ◽  
Sustainable Construction ◽  
Future Research ◽  
Safety Improvement ◽  
The Individual ◽  
High Level ◽  
Industry Professionals

Although the two concepts of lean and sustainable construction have been developed due to different incentives, and they do not pursue the same exact goals, there exists considerable commonality between them. This paper discusses the potentials for integrating the two approaches and their practices and how the resulting synergy from combining the two methods can potentially lead to higher levels of fulfilling the individual goals of each of them. Some limitations and challenges to implementing the integrated approach are also discussed. Based on a comprehensive review of existing papers related to sustainable and lean construction topics, the commonality between the two approaches is discussed and grouped in five categories of (1) cost savings, (2) waste minimization, (3) Jobsite safety improvement, (4) reduced energy consumption, and (5) customers’ satisfaction improvement. The challenges of this integration are similarly identified and discussed in the four main categories of (1) additional initial costs to the project, (2) difficulty of providing specialized expertise, (3) contractors’ unwillingness to adopt the additional requirements, and (4) challenges to establish a high level of teamwork. Industry professionals were then interviewed to rank the elements in each of the two categories of opportunities and challenges. The results of the study highlight how future research can pursue the development of a new Green-Lean approach by investing in the communalities and meeting the challenges of this integration.

scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Vol 18 (8) ◽  
pp. 3922
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

Probabilistic Rule Learning Systems

2021 ◽  
Vol 54 (4) ◽  
pp. 1-16
Author(s):  
Abdus Salam ◽  
Rolf Schwitter ◽  
Mehmet A. Orgun
Keyword(s):  
Probability Theory ◽  
Rule Learning ◽  
Background Knowledge ◽  
Learning Systems ◽  
Future Research ◽  
Research Directions ◽  
System Architectures ◽  
Probabilistic Rule ◽  
Future Research Directions ◽  
High Level

This survey provides an overview of rule learning systems that can learn the structure of probabilistic rules for uncertain domains. These systems are very useful in such domains because they can be trained with a small amount of positive and negative examples, use declarative representations of background knowledge, and combine efficient high-level reasoning with the probability theory. The output of these systems are probabilistic rules that are easy to understand by humans, since the conditions for consequences lead to predictions that become transparent and interpretable. This survey focuses on representational approaches and system architectures, and suggests future research directions.

Comparison of Frenotomy Techniques for the Treatment of Ankyloglossia in Children: A Systematic Review

2020 ◽  
Vol 163 (3) ◽  
pp. 428-443
Author(s):  
Usman Khan ◽  
Jake MacPherson ◽  
Michael Bezuhly ◽  
Paul Hong
Keyword(s):  
Rating Scale ◽  
Pediatric Population ◽  
Meta Analysis ◽  
Numeric Rating Scale ◽  
Assessment Tools ◽  
Future Research ◽  
Randomized Controlled ◽  
Comprehensive Search ◽  
High Level ◽  
Numeric Rating

Objective To compare the effectiveness of conventional (CF), laser (LF), and Z-plasty (ZF) frenotomies for the treatment of ankyloglossia in the pediatric population. Data Sources A comprehensive search of PUBMED, EMBASE, and COCHRANE databases was performed. Review Methods Relevant articles were independently assessed by 2 reviewers according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Results Thirty-five articles assessing CF (27 articles), LF (4 articles), ZF (3 articles), and/or rhomboid plasty frenotomy (1 article) were included. A high level of outcome heterogeneity prevented pooling of data. All 7 randomized controlled trials (RCTs) were of low quality. Both CF (5 articles with 589 patients) and LF (2 articles with 78 patients) were independently shown to reduce maternal nipple pain on a visual analog or numeric rating scale. There were reports of improvement with breastfeeding outcomes as assessed on validated assessment tools for 88% (7/8) of CF articles (588 patients) and 2 LF articles (78 patients). ZF improved breastfeeding outcomes on subjective maternal reports (1 article with 18 infants) only. One RCT with a high risk of bias concluded greater speech articulation improvements with ZF compared to CF. Only minor adverse events were reported for all frenotomy techniques. Conclusions Current literature does not demonstrate a clear advantage for one frenotomy technique when managing children with ankyloglossia. Recommendations for future research are provided to overcome the methodological shortcomings in the literature. We conclude that all frenotomy techniques are safe and effective for treating symptomatic ankyloglossia.

scholarly journals Identity (Re)Construction of Female Adolescents with Substance Use Disorders

2021 ◽  
Vol 18 (13) ◽  
pp. 7022
Author(s):  
Danielle Treiber ◽  
Lize A. E. Booysen
Keyword(s):  
Substance Use ◽  
Theoretical Model ◽  
Identity Formation ◽  
Identity Construction ◽  
Substance Use Disorders ◽  
Sense Of Self ◽  
Female Adolescents ◽  
Situational Analysis ◽  
Developmental Milestone ◽  
Practical Implications

Identity formation is a developmental milestone for adolescents, and their identities are constructed and re-constructed through their interactions with others and contextual factors in their environment. When considering adolescents with substance use disorders (SUD), often this developmental milestone is misappropriated, misunderstood, and misrepresented. The purpose of this article was to explore how adolescents with substance use disorders form identity and construct a sense of self. Firstly, we explored the identity formation and reconstruction of 20 female adolescents with SUDs based on an in-depth grounded theory methodology (GTM) which included a situational analysis (SA). Secondly, we offered a theoretical model to explain identity construction and reconstruction of adolescents with SUDs that emerged from this research. We conclude this article with practical implications for treatment, and care of adolescents with SUDs.

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