scholarly journals Analyzing Ethnocentric Immigration through the Case of Hungary – Demographic Effects of Immigration from Neighboring Countries to Hungary

2021 ◽  
Vol 8 (4) ◽  
pp. 128
Author(s):  
Márton Péti ◽  
Laura Szabó ◽  
Csilla Obádovics ◽  
Balázs Szabó ◽  
Dávid Csécsi
Keyword(s):  
Central And Eastern Europe ◽  
Census Data ◽  
Significant Proportion ◽  
Population Projections ◽  
Data Sets ◽  
Ethnic Communities ◽  
Hungarian Society ◽  
Immigration Process ◽  
European Immigrants ◽  
Research Questions

Specific ethnocentric international migration processes can be observed in Hungary: a significant proportion of immigrants are of Hungarian ethnic background and come from neighboring countries. Similar processes can be observed between other kin-states and co-ethnic communities of Central and Eastern Europe, but this type of migration has not been studied intensively yet. The focus of the research is on the effects of this immigration on Hungarian society and the economy. Population projections were also carried out according to two research questions: “what would have happened if the immigrants had not arrived according to the processes that were experienced?” and “what will happen if the immigration process changes?” The research is based on the 2011 census data sets; the target group is the population born in neighboring countries that moved to Hungary after 1985. Results show that the ethnic Hungarian immigrant population has been a crucial human resource in Hungary. Without these immigrants, Hungary's demographic trends would also be less favorable. Moreover, in contrast to the situation typical of European immigrants, the socio-economic situation of the former is more favorable than of the host society. Potential decline of this immigration population could indeed be challenging.

A Demographic Profile of the Chinese in Singapore

1981 ◽  
Vol 12 (1) ◽  
pp. 142-158 ◽  
Author(s):  
Warwick Neville
Keyword(s):  
Language Use ◽  
Census Data ◽  
Chinese Language ◽  
Ethnic Communities ◽  
Chinese Community ◽  
Demographic Profile ◽  
The Republic ◽  
Similar Elements

This paper attempts to appraise just one facet of the Chinese community in Singapore — its demographic character and the degree to which this is distinctive within the broader setting of Singapore society at large. The information available as the basis for such an analysis is limited and more definitive statements on trends and differences will be possible as the statistics compiled from the 1980 census become available.Important changes are occurring within the Chinese community which have considerable significance for the republic but for which there is no direct basis of comparison with other ethnic communities. These considerations have not been examined here but include the changing behaviour in matters of kinship, associations and societies, marriage, religion, and similar elements central to the Chinese community. Perhaps the most significant of these currently is the issue of language and the active promotion by government of Mandarin not only as the official Chinese language but as a substitute for dialects in circumstances where, until now, they have been dominant. Although surveys of language use have been carried out recently, these have been too small and too specialized to provide a basis for general conclusions, and again it is to be hoped that the 1980 census data will provide an updated benchmark for this parameter comparable to that of earlier censuses.

scholarly journals Advances in the Identification of Circular RNAs and Research Into circRNAs in Human Diseases

2021 ◽  
Vol 12 ◽  
Author(s):  
Shihu Jiao ◽  
Song Wu ◽  
Shan Huang ◽  
Mingyang Liu ◽  
Bo Gao
Keyword(s):  
Neurological Disorders ◽  
Closed Loop ◽  
Significant Proportion ◽  
Human Diseases ◽  
Circular Rnas ◽  
The Status ◽  
Research Questions ◽  
Non Coding Rnas ◽  
Microrna Sponges

Circular RNAs (circRNAs) are a class of endogenous non-coding RNAs (ncRNAs) with a closed-loop structure that are mainly produced by variable processing of precursor mRNAs (pre-mRNAs). They are widely present in all eukaryotes and are very stable. Currently, circRNA studies have become a hotspot in RNA research. It has been reported that circRNAs constitute a significant proportion of transcript expression, and some are significantly more abundantly expressed than other transcripts. CircRNAs have regulatory roles in gene expression and critical biological functions in the development of organisms, such as acting as microRNA sponges or as endogenous RNAs and biomarkers. As such, they may have useful functions in the diagnosis and treatment of diseases. CircRNAs have been found to play an important role in the development of several diseases, including atherosclerosis, neurological disorders, diabetes, and cancer. In this paper, we review the status of circRNA research, describe circRNA-related databases and the identification of circRNAs, discuss the role of circRNAs in human diseases such as colon cancer, atherosclerosis, and gastric cancer, and identify remaining research questions related to circRNAs.

scholarly journals Population projections for all U.S. counties by age, sex, and race controlled to the Shared Socioeconomic Pathways

2018 ◽  
Author(s):  
Mathew Hauer
Keyword(s):  
Census Data ◽  
Age Groups ◽  
The United States ◽  
Population Projections ◽  
Leslie Matrix ◽  
Ex Post ◽  
Ex Post Facto ◽  
Using Data ◽  
And Control ◽  
Cohort Change

Small area and subnational population projections are important for understanding long-term demographic changes. I provide county-level population projections by age, sex, and race in five-year intervals for the period 2015-2100 for all U.S. counties. Using historic U.S. census data in temporally rectified county boundaries and race groups for the period 1990-2015, I calculate cohort-change ratios (CCRs) and cohort-change differences (CCDs) for eighteen five-year age groups (0-85+), two sex groups (Male and Female), and four race groups (White NH, Black NH, Other NH, Hispanic) for all U.S counties. I then project these CCRs/CCDs using ARIMA models as inputs into Leslie matrix population projection models and control the projections to the Shared Socioeconomic Pathways. I validate the methods using ex-post facto evaluations using data from 1969-2000 to project 2000-2015. My results are reasonably accurate for this period. These data have numerous potential uses and can serve as inputs for addressing questions involving sub-national demographic change in the United States.

A Changing Spanish Identity

2017 ◽  
Author(s):  
Kathryn L. Ness
Keyword(s):  
Eighteenth Century ◽  
Cultural Identity ◽  
Early Modern ◽  
Cultural Change ◽  
Spanish Empire ◽  
Data Sets ◽  
Modern History ◽  
Early Modern History ◽  
Spanish Novel ◽  
Research Questions

“A Changing Spanish Identity” outlines the research questions and data sets discussed in Setting the Table by introducing the notion of early modern Spanish cultural identity and the changes it encountered in the eighteenth century. It explains the author’s use of Don Quixote as a guide through the study and why this quintessential Spanish novel is appropriate for exploring themes of cultural change and identity. The chapter argues that, despite the major role the Spanish Empire played in early modern history, it has been largely underrepresented in studies of the Atlantic world. The majority of the chapter contains a brief introduction to the three sites addressed in the study as well as the methodology used to investigate these sites. The chapter concludes with an outline of subsequent chapters.

Modelling Migration with Poisson Regression

2010 ◽  
pp. 261-279 ◽  
Author(s):  
Robin Flowerdew
Keyword(s):  
Poisson Regression ◽  
Goodness Of Fit ◽  
Negative Binomial ◽  
Census Data ◽  
Ordinary Least Squares ◽  
Negative Integer ◽  
Data Sets ◽  
Explanatory Variables ◽  
Recent Developments ◽  
Generalised Linear Modelling

Most statistical analysis is based on the assumption that error is normally distributed, but many data sets are based on discrete data (the number of migrants from one place to another must be a whole number). Recent developments in statistics have often involved generalising methods so that they can be properly applied to non-normal data. For example, Nelder and Wedderburn (1972) developed the theory of generalised linear modelling, where the dependent or response variable can take a variety of different probability distributions linked in one of several possible ways to a linear predictor, based on a combination of independent or explanatory variables. Several common statistical techniques are special cases of the generalised linear models, including the usual form of regression analysis, Ordinary Least Squares regression, and binomial logit modelling. Another important special case is Poisson regression, which has a Poisson-distributed dependent variable, linked logarithmically to a linear combination of independent variables. Poisson regression may be an appropriate method when the dependent variable is constrained to be a non-negative integer, usually a count of the number of events in certain categories. It assumes that each event is independent of the others, though the probability of an event may be linked to available explanatory variables. This chapter illustrates how Poisson regression can be carried out using the Stata package, proceeding to discuss various problems and issues which may arise in the use of the method. The number of migrants from area i to area j must be a non-negative integer and is likely to vary according to zone population, distance and economic variables. The availability of high-quality migration data through the WICID facility permits detailed analysis at levels from the region to the output areas. A vast range of possible explanatory variables can also be derived from the 2001 Census data. Model results are discussed in terms of the significant explanatory variables, the overall goodness of fit and the big residuals. Comparisons are drawn with other analytic techniques such as OLS regression. The relationship to Wilson’s entropy maximising methods is described, and variants on the method are explained. These include negative binomial regression and zero-censored and zero-truncated models.

Collecting and Analyzing Qualitative Data

2019 ◽  
pp. 213-228 ◽  
Author(s):  
Brent Wolff ◽  
Frank Mahoney ◽  
Anna Leena Lohiniva ◽  
Melissa Corkum
Keyword(s):  
Qualitative Data ◽  
Computer Software ◽  
Internal Validity ◽  
Large Data ◽  
Data Sets ◽  
Qualitative Approaches ◽  
Rapport Building ◽  
Research Questions ◽  
High Internal Validity ◽  
Rigorous Method

Qualitative research provides an adaptable, open-ended, rigorous method to explore local perceptions of an issue. Qualitative approaches are effective at revealing the subjective logic motivating behavior. They are particularly appropriate for research questions that are exploratory in nature or involve issues of meaning rather than magnitude or frequency. Key advantages of qualitative approaches include speed, flexibility and high internal validity resulting from emphasis on rapport building and ability to probe beneath the surface of initial responses. Given the time-intensive nature of qualitative analysis, samples tend to be small and purposively selected to assure every interview counts. Qualitative studies can be done independently or embedded in mixed-method designs. Qualitative data analysis depends on rigorous reading and rereading texts ideally with more than one analyst to confirm interpretations. Computer software is useful for analyzing large data sets but manual coding is often sufficient for rapid assessments in field settings..

scholarly journals A general approach for retrosynthetic molecular core analysis

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
J. Jesús Naveja ◽  
B. Angélica Pilón-Jiménez ◽  
Jürgen Bajorath ◽  
José L. Medina-Franco
Keyword(s):  
Single Molecule ◽  
Chemical Space ◽  
Significant Proportion ◽  
Bipartite Network ◽  
Data Sets ◽  
Structure Property ◽  
Data Set ◽  
Chemical Structures ◽  
Structure Property Relationships ◽  
Analog Series

Abstract Scaffold analysis of compound data sets has reemerged as a chemically interpretable alternative to machine learning for chemical space and structure–activity relationships analysis. In this context, analog series-based scaffolds (ASBS) are synthetically relevant core structures that represent individual series of analogs. As an extension to ASBS, we herein introduce the development of a general conceptual framework that considers all putative cores of molecules in a compound data set, thus softening the often applied “single molecule–single scaffold” correspondence. A putative core is here defined as any substructure of a molecule complying with two basic rules: (a) the size of the core is a significant proportion of the whole molecule size and (b) the substructure can be reached from the original molecule through a succession of retrosynthesis rules. Thereafter, a bipartite network consisting of molecules and cores can be constructed for a database of chemical structures. Compounds linked to the same cores are considered analogs. We present case studies illustrating the potential of the general framework. The applications range from inter- and intra-core diversity analysis of compound data sets, structure–property relationships, and identification of analog series and ASBS. The molecule–core network herein presented is a general methodology with multiple applications in scaffold analysis. New statistical methods are envisioned that will be able to draw quantitative conclusions from these data. The code to use the method presented in this work is freely available as an additional file. Follow-up applications include analog searching and core structure–property relationships analyses.

Otolaryngology–Head and Neck Surgery Physician Work Force Issues

2012 ◽  
Vol 146 (2) ◽  
pp. 196-202 ◽  
Author(s):  
Jin Suk C. Kim ◽  
Richard A. Cooper ◽  
David W. Kennedy
Keyword(s):  
Head And Neck ◽  
Census Data ◽  
Supply And Demand ◽  
Insurance Coverage ◽  
Neck Surgery ◽  
The United States ◽  
Economic Modeling ◽  
Head And Neck Surgery ◽  
Population Census ◽  
Data Sets

Objective. To predict future trends in the otolaryngology workforce and propose solutions to correct the identified discrepancies between supply and demand. Study Design. Economic modeling and analysis. Setting. Data sets at national medical and economic organizations. Subjects and Methods. Based on current American Academy of Otolaryngology–Head and Neck Surgery, American Medical Association, and National Residency Matching Program data sets, population census data, and historical physician growth demand curves, the future otolaryngology workforce supply and demand were modeled. Adjustments were made for projected increases in mid-level providers, increased insurance coverage, and the potential effects of lifestyle preferences. Results. There are currently approximately 8600 otolaryngologists in the United States. Estimated demand by 2025 is 11,127 based on projected population growth and anticipated increase in insurance coverage. With an average retirement age of 65 years and no increase in PGY-1 positions for the specialty, the number of otolaryngologists in 2025 will be approximately 2500 short of projected demand. This shortfall will not be adequately compensated by mid-level providers performing less intensive services and may be increased by lifestyle preferences and changing demographics among medical students and residents. The current geographic maldistribution of otolaryngologists is likely to be exacerbated. Conclusion. The specialty needs to actively plan for the coming otolaryngologist shortage and train mid-level providers within the specialty. Failure to plan appropriately may result in a reduction in scope of practice of high-intensity services, which will likely remain a physician prerogative. Given the limited likelihood of a significant increase in residency slots, strong consideration should be given to shortening the base otolaryngology training program length.

scholarly journals Making Inference across Mobilisation and Influence Research: Comparing Top-Down and Bottom-Up Mapping of Interest Systems

2017 ◽  
Vol 66 (1) ◽  
pp. 43-62 ◽  
Author(s):  
Joost Berkhout ◽  
Jan Beyers ◽  
Caelesta Braun ◽  
Marcel Hanegraaff ◽  
David Lowery
Keyword(s):  
Interest Group ◽  
Data Sets ◽  
The European Union ◽  
Top Down ◽  
Total Size ◽  
Bottom Up ◽  
Policy Influence ◽  
Mapping Strategy ◽  
Large N ◽  
Research Questions

Scholars of mobilisation and policy influence employ two quite different approaches to mapping interest group systems. Those interested in research questions on mobilisation typically rely on a bottom-up mapping strategy in order to characterise the total size and composition of interest group communities. Researchers with an interest in policy influence usually rely on a top-down strategy in which the mapping of politically active organisations depends on samples of specific policies. But some scholars also use top-down data gathered for other research questions on mobilisation (and vice versa). However, it is currently unclear how valid such large-N data for different types of research questions are. We illustrate our argument by addressing these questions using unique data sets drawn from the INTEREURO project on lobbying in the European Union and the European Union’s Transparency Register. Our findings suggest that top-down and bottom-up mapping strategies lead to profoundly different maps of interest group communities.

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