scholarly journals Demographic and economic aspects of urban shrinkage in Serbia - typology and regional differentiation

2021 ◽  
Vol 101 (2) ◽  
pp. 43-78
Author(s):  
Danica Djurkin ◽  
Marija Antic ◽  
Aljosa Budovic
Keyword(s):  
Urban Space ◽  
Clustering Algorithm ◽  
Regional Differentiation ◽  
Future Research ◽  
Economic Aspects ◽  
Starting Point ◽  
South Eastern Europe ◽  
Economic Vitality ◽  
Different Levels

Urban shrinkage is a process that many European countries have been facing in recent decades. It had started in highly developed regions at the time of deindustrialisation, but since the 1990s, this process has also affected Central, Eastern and South-eastern Europe, with different patterns and dynamics of urban shrinkage. The political and economic crisis in Serbia during the 1990s, as well as the transition from a centrally governed and urban-based industrialisation to a neoliberal market economy, has brought significant changes in the development of cities, which faced declining demographic and economic vitality. This paper is focused on the analysis of the intensity and dynamics of demographic and economic aspects of urban shrinkage in Serbia and on classification of cities according to the different phases of urban shrinkage. Typological classification was performed using the K-means clustering algorithm. The cluster analysis is based on the use of relevant demographic and socio-economic indicators, for the period from 2002 to 2011. After identifying cities that recorded an increase in total population and relatively stable economic development, three types of shrinking cities were determined according to the intensity of demographic and economic shrinkage - cities with low, medium and high shrinkage intensity. The analysis of the main patterns and factors that influenced the different levels of urban shrinkage enabled a better understanding of this phenomenon in Serbia. The results indicate the heterogeneity of urban space due to different levels of demographic and economic shrinkage, thus it can serve as a starting point for future research of uneven urban development in Serbia.

Business process model patterns: state-of-the-art, research classification and taxonomy

2019 ◽  
Vol 25 (5) ◽  
pp. 972-994 ◽  
Author(s):  
Michael Fellmann ◽  
Agnes Koschmider ◽  
Ralf Laue ◽  
Andreas Schoknecht ◽  
Arthur Vetter
Keyword(s):  
Business Process ◽  
Process Model ◽  
Pattern Language ◽  
Future Research ◽  
Business Process Model ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Research Classification

Purpose Patterns have proven to be useful for documenting general reusable solutions to a commonly occurring problem. In recent years, several different business process management (BPM)-related patterns have been published. Despite the large number of publications on this subject, there is no work that provides a comprehensive overview and categorization of the published business process model patterns. The purpose of this paper is to close this gap by providing a taxonomy of patterns as well as a classification of 89 research works. Design/methodology/approach The authors analyzed 280 research articles following a structured iterative procedure inspired by the method for taxonomy development from Nickerson et al. (2013). Using deductive and inductive reasoning processes embedded in concurrent as well as joint research activities, the authors created a taxonomy of patterns as well as a classification of 89 research works. Findings In general, the findings extend the current understanding of BPM patterns. The authors identify pattern categories that are highly populated with research works as well as categories that have received far less attention such as risk and security, the ecological perspective and process architecture. Further, the analysis shows that there is not yet an overarching pattern language for business process model patterns. The insights can be used as starting point for developing such a pattern language. Originality/value Up to now, no comprehensive pattern taxonomy and research classification exists. The taxonomy and classification are useful for searching pattern works which is also supported by an accompanying website complementing the work. In regard to future research and publications on patterns, the authors derive recommendations regarding the content and structure of pattern publications.

scholarly journals Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery

2021 ◽  
pp. 1-14
Author(s):  
Rebecca L. Dell ◽  
Alison F. Banwell ◽  
Ian C. Willis ◽  
Neil S. Arnold ◽  
Anna Ruth W. Halberstadt ◽  
...  
Keyword(s):  
Supervised Classification ◽  
Clustering Algorithm ◽  
Google Earth ◽  
Expert Elicitation ◽  
Future Research ◽  
Landsat 8 ◽  
Ice Shelf ◽  
Ice Shelves ◽  
Air Content

Abstract Surface meltwater is becoming increasingly widespread on Antarctic ice shelves. It is stored within surface ponds and streams, or within firn pore spaces, which may saturate to form slush. Slush can reduce firn air content, increasing an ice-shelf's vulnerability to break-up. To date, no study has mapped the changing extent of slush across ice shelves. Here, we use Google Earth Engine and Landsat 8 images from six ice shelves to generate training classes using a k-means clustering algorithm, which are used to train a random forest classifier to identify both slush and ponded water. Validation using expert elicitation gives accuracies of 84% and 82% for the ponded water and slush classes, respectively. Errors result from subjectivity in identifying the ponded water/slush boundary, and from inclusion of cloud and shadows. We apply our classifier to the Roi Baudouin Ice Shelf for the entire 2013–20 Landsat 8 record. On average, 64% of all surface meltwater is classified as slush and 36% as ponded water. Total meltwater areal extent is greatest between late January and mid-February. This highlights the importance of mapping slush when studying surface meltwater on ice shelves. Future research will apply the classifier across all Antarctic ice shelves.

Types of Political Discourses and Their Classification

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Givi AMAGHLOBELI
Keyword(s):  
Narrative Discourse ◽  
General Definition ◽  
Future Research ◽  
Mental Picture ◽  
Political Discourses ◽  
Starting Point ◽  
The Subject ◽  
Definition Of ◽  
The Given

The aim of the given work is to identify and classify the types of political discourses that (may) exist in any particular society. Compared to existing definitions and classifications, our purpose serves a practical goal of schematic classification of political discourses. The article intends to give a starting point for a general classification and typology that will be elaborated within the framework of future research, as typology of discourse specimens is the least developed area of the field (van Dijk, 1997). Definitions/typologies that have been made until now are more of a theoretical character and, therefore, it would be useful to create more concrete mental pictures (expressed in the forms of schemata) that will enable us to operate easier with the concepts discussed while studying the subject. The article starts with the general definition of the term(s) and links the concept of discourse to other concepts like narrative, frame, ideology, discursive strategy. As we try to show the ideology/narrative/discourse link, formulation of corresponding schemes also gain importance in order to have a clearer mental picture of the above mentioned correlation. In parallel with the above mentioned points we also emphasize correlation between the dominant / secondary discourses with specific focus on ideological differences/power struggle. 

scholarly journals Measuring the benefits of entrepreneurship at different levels of analysis

2007 ◽  
Vol 13 (4) ◽  
pp. 312-330 ◽  
Author(s):  
Belinda Luke ◽  
Martie-Louise Verreynne ◽  
Kate Kearins
Keyword(s):  
Initial Step ◽  
Levels Of Analysis ◽  
Future Research ◽  
Financial Measures ◽  
Financial Perspective ◽  
Standards Of Living ◽  
Financial Benefits ◽  
Starting Point ◽  
Research Designs ◽  
Different Levels

AbstractThis paper presents a suggested framework for future research designs to examine the benefits of entrepreneurship, both non-financial and financial. Based on a review of the literature and using contextual exemplars throughout the paper with an Australia and New Zealand focus, we identify a range of benefits from entrepreneurship at the various levels of analysis (e.g. individual, organizational, national). From a non-financial perspective such benefits include independence, autonomy, competitive advantage, increased market share, employment and increased standards of living. From a financial perspective, entrepreneurships benefits include enhanced remuneration or rent from revenue, profits, cash flow, return on investment and increases in GDP – specific financial measures to be expressed in clear financial terms. The suggested framework represents both an initial step towards the measurement of entrepreneurships financial benefits and a valuable starting point for the development of a theory of the non-financial and financial benefits of entrepreneurship.

scholarly journals Análise da Variação Microclimática em Diferentes Níveis de Fragmentação (Analysis of Microclimate Variation at Different Levels of Fragmentation)

2016 ◽  
Vol 9 (1) ◽  
pp. 226
Author(s):  
Anne Falcão de Freitas ◽  
Joel Silva dos Santos ◽  
Rita Baltazar de Lima
Keyword(s):  
Thermal Stress ◽  
Urban Space ◽  
Thermal Field ◽  
Soil Cover ◽  
Temperature Data ◽  
Quantitative And Qualitative Methods ◽  
Different Levels ◽  
Microclimate Variation ◽  
Thermodynamic Factors

A fragmentação da vegetação inserida no ambiente urbano, decorrente da ocupação desordenada do solo, gera transformações significativas na dinâmica dos fatores termodinâmicos. Este trabalho analisa o sistema microclimático urbano, subsistema termodinâmico da Universidade Federal da Paraíba, em diferentes níveis de fragmentação. Foram realizadas coletas de dados de temperatura e umidade relativa do ar, em três pontos com diferentes fragmentações, durante os períodos: chuvoso (março a agosto) e seco (setembro a fevereiro). Também foi avaliado o nível de estresse térmico e foi efetuada a classificação dos tipos de cobertura de solo em cada ponto monitorado, resultando em nove classes, de acordo com a percentagem da presença de vegetação, de materiais permeáveis e de materiais impermeáveis, tendo sido utilizados métodos quantitativos e qualitativos. Os resultados demonstraram que os diferentes níveis de fragmentação da Mata Atlântica, no espaço urbano da UFPB, têm alterado o campo térmico, e consequentemente alterado também o conforto térmico desse espaço.   A B S T R A C T The fragmentation of vegetation inserted in the urban environment, resulting from the disorderly occupation of soil, generates significant transformation in the dynamics of the thermodynamic factors. This paper analyzes the urban microclimate system, thermodynamic subsystem at the Federal University of Paraiba, in different levels of fragmentation. Temperature data collection and relative humidity were held at three points with different fragmentation during periods: rainy (March to August) and dry (September to February). It also assessed the level of thermal stress and it was performed the classification of the soil cover types at each point monitored, resulting in nine classes, according to the percentage of the presence of vegetation, for permeable materials and impervious materials, having been used quantitative and qualitative methods. The results demonstrated that the different levels of fragmentation of the Atlantic Forest, in the urban space from UFPB, have changed the thermal field, and consequently also changed the thermal comfort of this space. Keywords: Microclimate, fragmentation levels, UFPB  

scholarly journals Measuring the benefits of entrepreneurship at different levels of analysis

2007 ◽  
Vol 13 (4) ◽  
pp. 312-330 ◽  
Author(s):  
Belinda Luke ◽  
Martie-Louise Verreynne ◽  
Kate Kearins
Keyword(s):  
Initial Step ◽  
Levels Of Analysis ◽  
Future Research ◽  
Financial Measures ◽  
Financial Perspective ◽  
Standards Of Living ◽  
Financial Benefits ◽  
Starting Point ◽  
Research Designs ◽  
Different Levels

AbstractThis paper presents a suggested framework for future research designs to examine the benefits of entrepreneurship, both non-financial and financial. Based on a review of the literature and using contextual exemplars throughout the paper with an Australia and New Zealand focus, we identify a range of benefits from entrepreneurship at the various levels of analysis (e.g. individual, organizational, national). From a non-financial perspective such benefits include independence, autonomy, competitive advantage, increased market share, employment and increased standards of living. From a financial perspective, entrepreneurships benefits include enhanced remuneration or rent from revenue, profits, cash flow, return on investment and increases in GDP – specific financial measures to be expressed in clear financial terms. The suggested framework represents both an initial step towards the measurement of entrepreneurships financial benefits and a valuable starting point for the development of a theory of the non-financial and financial benefits of entrepreneurship.

The Emergence and Maintenance of Ethical Leadership in Organizations

2012 ◽  
Vol 11 (1) ◽  
pp. 7-19 ◽  
Author(s):  
Silke Astrid Eisenbeiß ◽  
Steffen R. Giessner
Keyword(s):  
Cultural Values ◽  
Ethical Leadership ◽  
Leadership Behavior ◽  
Peer Group ◽  
Organizational Characteristics ◽  
Future Research ◽  
Environmental Complexity ◽  
Group Influence ◽  
Analysis Society ◽  
Different Levels

The present paper gives a review of empirical research on ethical leadership and shows that still little is known known about the contextual antecedents of ethical leadership. To address this important issue, a conceptual framework is developed that analyzes the embeddedness of organizational ethical leadership. This framework identifies manifest and latent contextual factors on three different levels of analysis – society, industry, and organization – which can affect the development and maintenance of ethical leadership. In particular, propositions are offered about how (1) societal characteristics, notably the implementation and the spirit of human rights in a society and societal cultural values of responsibility, justice, humanity, and transparency; (2) industry characteristics such as environmental complexity, the content of the organizational mandate, and the interests of stakeholder networks; and (3) intra-organizational characteristics, including the organizational ethical infrastructure and the ethical leadership behavior of a leader’s peer group, influence the development and maintenance of ethical leadership in organizations. This list of factors is not exhaustive, but illustrates how the three levels may impact ethical leadership. Implications for managerial practice and future research are discussed.

Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis

1996 ◽  
Vol 35 (04/05) ◽  
pp. 334-342 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
H. Leitich
Keyword(s):  
Rheumatoid Arthritis ◽  
Reference Model ◽  
American Rheumatism Association ◽  
Uniform Definition ◽  
Sensitivity Rate ◽  
Fuzzy Techniques ◽  
Definition Of ◽  
Different Levels ◽  
Specificity Rate

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.

K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali
Keyword(s):  
Soil Fertility ◽  
Crop Yield ◽  
Clustering Algorithm ◽  
Soil Samples ◽  
North West ◽  
R Programming ◽  
Available Information ◽  
Northwest Region ◽  
The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

Chemometric Analysis for the Classification of some Groups of Drugs with Divergent Pharmacological Activity on the Basis of some Chromatographic and Molecular Modeling Parameters

2018 ◽  
Vol 21 (2) ◽  
pp. 125-137
Author(s):  
Jolanta Stasiak ◽  
Marcin Koba ◽  
Marcin Gackowski ◽  
Tomasz Baczek
Keyword(s):  
Correlation Analysis ◽  
Pharmacological Activity ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Cardiovascular Drugs ◽  
New Drugs ◽  
Analgesic Drugs ◽  
Starting Point ◽  
Chromatographic Parameters

Aim and Objective: In this study, chemometric methods as correlation analysis, cluster analysis (CA), principal component analysis (PCA), and factor analysis (FA) have been used to reduce the number of chromatographic parameters (logk/logkw) and various (e.g., 0D, 1D, 2D, 3D) structural descriptors for three different groups of drugs, such as 12 analgesic drugs, 11 cardiovascular drugs and 36 “other” compounds and especially to choose the most important data of them. Material and Methods: All chemometric analyses have been carried out, graphically presented and also discussed for each group of drugs. At first, compounds’ structural and chromatographic parameters were correlated. The best results of correlation analysis were as follows: correlation coefficients like R = 0.93, R = 0.88, R = 0.91 for cardiac medications, analgesic drugs, and 36 “other” compounds, respectively. Next, part of molecular and HPLC experimental data from each group of drugs were submitted to FA/PCA and CA techniques. Results: Almost all results obtained by FA or PCA, and total data variance, from all analyzed parameters (experimental and calculated) were explained by first two/three factors: 84.28%, 76.38 %, 69.71% for cardiovascular drugs, for analgesic drugs and for 36 “other” compounds, respectively. Compounds clustering by CA method had similar characteristic as those obtained by FA/PCA. In our paper, statistical classification of mentioned drugs performed has been widely characterized and discussed in case of their molecular structure and pharmacological activity. Conclusion: Proposed QSAR strategy of reduced number of parameters could be useful starting point for further statistical analysis as well as support for designing new drugs and predicting their possible activity.

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