Spatially extended hybrid methods: a review

Many biological and physical systems exhibit behaviour at multiple spatial, temporal or population scales. Multiscale processes provide challenges when they are to be simulated using numerical techniques. While coarser methods such as partial differential equations are typically fast to simulate, they lack the individual-level detail that may be required in regions of low concentration or small spatial scale. However, to simulate at such an individual level throughout a domain and in regions where concentrations are high can be computationally expensive. Spatially coupled hybrid methods provide a bridge, allowing for multiple representations of the same species in one spatial domain by partitioning space into distinct modelling subdomains. Over the past 20 years, such hybrid methods have risen to prominence, leading to what is now a very active research area across multiple disciplines including chemistry, physics and mathematics. There are three main motivations for undertaking this review. Firstly, we have collated a large number of spatially extended hybrid methods and presented them in a single coherent document, while comparing and contrasting them, so that anyone who requires a multiscale hybrid method will be able to find the most appropriate one for their need. Secondly, we have provided canonical examples with algorithms and accompanying code, serving to demonstrate how these types of methods work in practice. Finally, we have presented papers that employ these methods on real biological and physical problems, demonstrating their utility. We also consider some open research questions in the area of hybrid method development and the future directions for the field.

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Cognitive Style, Selectivity, and Reinforcement: Toward Clarifying the Role of Political Ideology in the Reception of Political Communication

10.31235/osf.io/q38my ◽

2018 ◽

Cited By ~ 1

Author(s):

Eike Mark Rinke ◽

Julia Lück

Keyword(s):

Political Communication ◽

Political Ideology ◽

Research Area ◽

Selective Exposure ◽

Political Orientation ◽

Individual Level ◽

Communication Effects ◽

Perceptions And Attitudes ◽

Political Perceptions ◽

The Individual

This essay examines the importance of political ideology for the occurrence of political communication effects on the individual level. It is a common assumption in this research area that people tend to be selective about the political information they expose themselves to and also to selectively process it. Selective exposure and selective perception processes are mainly based on the dominant political orientation of the recipient, which usually leads to a reinforcement of preexisting political perceptions and attitudes. We review recent research on selective exposure and perceptions and argue for greater involvement of findings in social psychology regarding differences in cognitive styles that underlie individual policy orientations and justify why and how these findings can promote the study of partisan selectivity in the reception of political communication. We conclude by highlighting theoretical and methodological perspectives arising from the proposed extension of research on selectivity in the process of receiving political communication. [Publication of this chapter in the public domain courtesy of Frank & Timme publishers. Publisher website: http://www.frank-timme.de/verlag/verlagsprogramm/buch/verlagsprogramm/kathrin-mokmichael-stahl-hg-politische-kommunikation-heute/]

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Pursuing equal pay: The perspectives of female engineers and potential policy interventions

Journal of Industrial Relations ◽

10.1177/0022185616659677 ◽

2016 ◽

Vol 59 (1) ◽

pp. 3-21 ◽

Cited By ~ 5

Author(s):

Judy McGregor ◽

Sharyn Graham Davies ◽

Lynne S Giddings ◽

Judith Pringle

Keyword(s):

Gender Pay Gap ◽

Equal Pay ◽

Pay Gap ◽

Individual Level ◽

Women In Engineering ◽

New Public ◽

Family Demands ◽

And Mathematics ◽

The Individual ◽

The Cost

The gender pay gap of higher paid women working in traditionally male-dominated sectors has received less analysis in equal pay research than low paid, female-dominated and undervalued women’s work. This article explores equal pay from the perspectives of female engineers, well paid women working in a Science, Technology, Engineering and Mathematics (STEM) sector in New Zealand, who perform work of the same or like nature to male engineers but who are paid less for doing so. It explores the gender pay gap against the complex intersections of labour market de-regulation, family demands, work and the ‘cost of being female’ that women in engineering must constantly navigate. The research uses quantitative pay data in the sector disaggregated by gender, and new qualitative data from focus groups and interviews with 22 female engineers. It finds a surprising lack of transparency around pay and remuneration in the sector at the individual level which negatively impacts on women. The article concludes by recommending new public policy initiatives for equal pay in sectors like engineering, where individualised negotiation and bargaining is embedded in neo-liberalism.

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Hybrid SSA-TSR-ARIMA for water demand forecasting

International Journal of Advances in Intelligent Informatics ◽

10.26555/ijain.v4i3.275 ◽

2018 ◽

Vol 4 (3) ◽

pp. 238 ◽

Cited By ~ 3

Author(s):

Suhartono Suhartono ◽

Salafiyah Isnawati ◽

Novi Ajeng Salehah ◽

Dedy Dwi Prastyo ◽

Heri Kuswanto ◽

...

Keyword(s):

Hybrid Method ◽

Water Demand ◽

Hybrid Methods ◽

Singular Spectrum Analysis ◽

Demand Forecasting ◽

Forecast Accuracy ◽

Real Data ◽

Water Demand Forecasting ◽

Accurate Forecast ◽

The Individual

Water supply management effectively becomes challenging due to the human population and their needs have been growing rapidly. The aim of this research is to propose hybrid methods based on Singular Spectrum Analysis (SSA) decomposition, Time Series Regression (TSR), and Automatic Autoregressive Integrated Moving Average (ARIMA), known as hybrid SSA-TSR-ARIMA, for water demand forecasting. Monthly water demand data frequently contain trend and seasonal patterns. In this research, two groups of different hybrid methods were developed and proposed, i.e. hybrid methods for individual SSA components and for aggregate SSA components. TSR was used for modeling aggregate trend component and Automatic ARIMA for modeling aggregate seasonal and noise components separately. Firstly, simulation study was conducted for evaluating the performance of the proposed methods. Then, the best hybrid method was applied to real data sample. The simulation showed that hybrid SSA-TSR-ARIMA for aggregate components yielded more accurate forecast than other hybrid methods. Moreover, the comparison of forecast accuracy in real data also showed that hybrid SSA-TSR-ARIMA for aggregate components could improve the forecast accuracy of ARIMA model and yielded better forecast than other hybrid methods. In general, it could be concluded that the hybrid model tends to give more accurate forecast than the individual methods. Thus, this research in line with the third result of the M3 competition that stated the accuracy of hybrid method outperformed, on average, the individual methods being combined and did very well in comparison to other methods.

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Exploring antecedents of social media usage in B2B: a systematic review

Management Research Review ◽

10.1108/mrr-07-2017-0212 ◽

2018 ◽

Vol 41 (6) ◽

pp. 629-656 ◽

Cited By ~ 5

Author(s):

Federica Pascucci ◽

Chiara Ancillai ◽

Silvio Cardinali

Keyword(s):

Social Media ◽

Literature Review ◽

Research Area ◽

Future Research ◽

Content Type ◽

Individual Level ◽

The Social ◽

Managerial Implications ◽

The Individual ◽

Interest In Research

PurposeThis paper aims to review the state-of-the-art literature on social media adoption in business-to-business (B2B) contexts to propose an inclusive and theoretical viewpoint to understand the antecedents of this phenomenon.Design/methodology/approachThis paper presents the results of a systematic literature review. For this purpose, 29 studies published in academic journals, books and conference papers in the field of marketing and management from 2001 to 2017 were analysed.FindingsThe results show that the number of studies has increased in the past five years. Three different groups of antecedents are identified by considering the nature of these factors (personal, organisational and external) and analysed at two different levels of adoption: individual and firm/function. Managerial implications and future research insights are provided.Research limitations/implicationsThis research area deserves much more attention, both theoretical and empirical, to analyse the existing classifications and develop new categories of antecedents of social media adoption in B2B. Further studies are needed on the individual level of adoption, on new skills and capabilities required to use social media as well as on the social factors influencing usage.Practical implicationsThe literature review allows to understand the role of personal, organisational and social antecedents and suggest ways to improve the level and quality of adoption.Originality/valueDespite a considerable interest in research on social media, this paper provides the first complete framework in the new field of study concerning social media adoption in B2B.

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Privacy Preserving Data Mining using Attribute Encryption and Data Perturbation

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v6i3.4461 ◽

2013 ◽

Vol 6 (3) ◽

pp. 370-378

Author(s):

Meenakshi Vishnoi ◽

Seeja K. R

Keyword(s):

Data Mining ◽

Personal Information ◽

Original Data ◽

Research Area ◽

Privacy Preserving ◽

Data Mining Technique ◽

Privacy Preserving Data Mining ◽

Mining Technique ◽

Active Research ◽

The Individual

Data mining is a very active research area that deals with the extraction of Â knowledge from very large databases. Data mining has made knowledge extraction and decision making easy. The extracted knowledge could reveal the personal information , if the data contains various private and sensitive attributes about an individual. This poses a threat to the personal information as there is a possibility of misusing the information behind the scenes without the knowledge of the individual. So, privacy becomes a great concern for the data owners and the organizations Â as none of the organizations would like to share their data. To solve this problem Privacy Preserving Data Mining technique have emerged and also solved problems of various domains as it provides the benefit of data mining without compromising the privacy of an individual. This paper proposes a privacy preserving data mining technique the uses randomized perturbation and cryptographic technique. The performance evaluation of the proposed technique shows the same result with the modified data and the original data.

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Performance Feedback in Organizations and Groups

The Oxford Handbook of Group and Organizational Learning ◽

10.1093/oxfordhb/9780190263362.013.13 ◽

2017 ◽

pp. 314-336 ◽

Cited By ~ 1

Author(s):

Henrich R. Greve ◽

Vibha Gaba

Keyword(s):

Goal Setting ◽

Performance Feedback ◽

Theory Of The Firm ◽

Individual Level ◽

Organization Level ◽

Setting Theory ◽

Active Research ◽

The Individual ◽

Fruitful Research ◽

New Research

Organizational change in response to performance below the aspiration level has become a very active research topic in organizational learning. It uses the ideas of performance feedback theory, which in turn is based on the process of problemistic search in the behavioral theory of the firm. Similar processes have also been studied at the individual level using ideas from goal-setting theory. In this chapter, we review work on performance feedback at the organization level, note some parallels to work at the individual level, and discuss the potential for new research on performance feedback at the group level. Our goal is both to summarize recent achievements and to point to a significant gap in the literature, with the potential for much fruitful research.

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Differential Effects of Competence and Morality on Self-Esteem at the Individual and the Collective Level

Social Psychology ◽

10.1027/1864-9335/a000410 ◽

2020 ◽

Vol 51 (3) ◽

pp. 183-198

Author(s):

Wiktor Soral ◽

Mirosław Kofta

Keyword(s):

Self Esteem ◽

Differential Effects ◽

Individual Level ◽

The Subject ◽

The Individual

Abstract. The importance of various trait dimensions explaining positive global self-esteem has been the subject of numerous studies. While some have provided support for the importance of agency, others have highlighted the importance of communion. This discrepancy can be explained, if one takes into account that people define and value their self both in individual and in collective terms. Two studies ( N = 367 and N = 263) examined the extent to which competence (an aspect of agency), morality, and sociability (the aspects of communion) promote high self-esteem at the individual and the collective level. In both studies, competence was the strongest predictor of self-esteem at the individual level, whereas morality was the strongest predictor of self-esteem at the collective level.

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Empirical analysis of trait models at the individual level

PsycEXTRA Dataset ◽

10.1037/e633912013-137 ◽

2004 ◽

Author(s):

James W. Grice

Keyword(s):

Empirical Analysis ◽

Individual Level ◽

The Individual

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Metonymy in Dance: Ballet Bunheads Take a Cognitive Turn

Dance Research ◽

10.3366/drs.2019.0251 ◽

2019 ◽

Vol 37 (1) ◽

pp. 18-34

Author(s):

Edward C. Warburton

Keyword(s):

Identity Formation ◽

Cognitive Science ◽

Artistic Development ◽

Individual Level ◽

Figures Of Speech ◽

Self Image ◽

Level I ◽

Dance Educators ◽

The Individual ◽

Metaphor And Metonymy

This essay considers metonymy in dance from the perspective of cognitive science. My goal is to unpack the roles of metaphor and metonymy in dance thought and action: how do they arise, how are they understood, how are they to be explained, and in what ways do they determine a person's doing of dance? The premise of this essay is that language matters at the cultural level and can be determinative at the individual level. I contend that some figures of speech, especially metonymic labels like ‘bunhead’, can not only discourage but dehumanize young dancers, treating them not as subjects who dance but as objects to be danced. The use of metonymy to sort young dancers may undermine the development of healthy self-image, impede strong identity formation, and retard creative-artistic development. The paper concludes with a discussion of the influence of metonymy in dance and implications for dance educators.

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