The weak H p spaces on homogeneous groups

1991 ◽  
pp. 113-118 ◽  
Author(s):  
He-ping Liu
Keyword(s):  
Homogeneous Groups

Self-monitoring and leadership in culturally heterogeneous and homogeneous groups

2003 ◽  
Author(s):  
Magdalene Hsien Chen Pua ◽  
Lynn R. Offermann ◽  
Catina M. Smith ◽  
Mary Sass ◽  
Craig R. Seal ◽  
...  
Keyword(s):  
Self Monitoring ◽  
Homogeneous Groups

The early stages of spontaneous forest regeneration on poor soils and continental sand dunes in northern Belgium

1983 ◽  
Vol 49 ◽  
Author(s):  
M. Van Miegroet
Keyword(s):  
Scots Pine ◽  
Age Differences ◽  
Forest Regeneration ◽  
Sand Dunes ◽  
Mixed Forest ◽  
Pedunculate Oak ◽  
White Poplar ◽  
Technical Problems ◽  
Homogeneous Groups ◽  
Invading Species

Spontaneous  natural regeneration under variable conditions on sandy soils and continental  sand dunes were analysed in 5 locations in N.E. Belgium.     The number of seedlings varies between 14.000 and 522.000/ha. The most  prominent invading species are red oak, pedunculate oak and Scots pine.    Two principal types of regeneration are recognized : homogeneous groups of  oak or pine and mixtures, predominantly composed by the same species.  Pioneers such as birch, willow, white poplar and wild black cherry do not  play an important role.    Social differentiation sets in quite early and is mainly provoked by age  differences. Therefore early silvicultural intervention is advisable. The  growth relationships between the species indicate that Scots pine is not in  danger of spontaneous elemination by other species. Because of the density  and variability of spontaneous forest regeneration, the conversion of pure  pine stands into mixed forest, using group regeneration to this end, poses no  real technical problems.

scholarly journals An analysis of COVID-19 clusters in India

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pooja Sengupta ◽  
Bhaswati Ganguli ◽  
Sugata SenRoy ◽  
Aditya Chatterjee
Keyword(s):  
Public Health ◽  
Cluster Analysis ◽  
Population Density ◽  
Case Studies ◽  
Compartment Model ◽  
Health Interventions ◽  
Disease Spread ◽  
Second Phase ◽  
Public Health Interventions ◽  
Homogeneous Groups

Abstract Background In this study we cluster the districts of India in terms of the spread of COVID-19 and related variables such as population density and the number of specialty hospitals. Simulation using a compartment model is used to provide insight into differences in response to public health interventions. Two case studies of interest from Nizamuddin and Dharavi provide contrasting pictures of the success in curbing spread. Methods A cluster analysis of the worst affected districts in India provides insight about the similarities between them. The effects of public health interventions in flattening the curve in their respective states is studied using the individual contact SEIQHRF model, a stochastic individual compartment model which simulates disease prevalence in the susceptible, infected, recovered and fatal compartments. Results The clustering of hotspot districts provide homogeneous groups that can be discriminated in terms of number of cases and related covariates. The cluster analysis reveal that the distribution of number of COVID-19 hospitals in the districts does not correlate with the distribution of confirmed COVID-19 cases. From the SEIQHRF model for Nizamuddin we observe in the second phase the number of infected individuals had seen a multitudinous increase in the states where Nizamuddin attendees returned, increasing the risk of the disease spread. However, the simulations reveal that implementing administrative interventions, flatten the curve. In Dharavi, through tracing, tracking, testing and treating, massive breakout of COVID-19 was brought under control. Conclusions The cluster analysis performed on the districts reveal homogeneous groups of districts that can be ranked based on the burden placed on the healthcare system in terms of number of confirmed cases, population density and number of hospitals dedicated to COVID-19 treatment. The study rounds up with two important case studies on Nizamuddin basti and Dharavi to illustrate the growth curve of COVID-19 in two very densely populated regions in India. In the case of Nizamuddin, the study showed that there was a manifold increase in the risk of infection. In contrast it is seen that there was a rapid decline in the number of cases in Dharavi within a span of about one month.

scholarly journals Evaluating performance of health care facilities at meeting HIV-indicator reporting requirements in Kenya: an application of K-means clustering algorithm

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Milka Bochere Gesicho ◽  
Martin Chieng Were ◽  
Ankica Babic
Keyword(s):  
Clustering Algorithm ◽  
Distinct Pattern ◽  
Health Care Facilities ◽  
Health Facilities ◽  
Hiv Care ◽  
Care Providers ◽  
Homogeneous Groups ◽  
Reporting Requirements ◽  
Low Middle Income Countries ◽  
Over Time

Abstract Background The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradication. In many low-middle-income-countries (LMICs), aggregate HIV data reporting is done through the District Health Information Software 2 (DHIS2). Nevertheless, despite a long-standing requirement to report HIV-indicator data to DHIS2 in LMICs, few rigorous evaluations exist to evaluate adequacy of health facility reporting at meeting completeness and timeliness requirements over time. The aim of this study is to conduct a comprehensive assessment of the reporting status for HIV-indicators, from the time of DHIS2 implementation, using Kenya as a case study. Methods A retrospective observational study was conducted to assess reporting performance of health facilities providing any of the HIV services in all 47 counties in Kenya between 2011 and 2018. Using data extracted from DHIS2, K-means clustering algorithm was used to identify homogeneous groups of health facilities based on their performance in meeting timeliness and completeness facility reporting requirements for each of the six programmatic areas. Average silhouette coefficient was used in measuring the quality of the selected clusters. Results Based on percentage average facility reporting completeness and timeliness, four homogeneous groups of facilities were identified namely: best performers, average performers, poor performers and outlier performers. Apart from blood safety reports, a distinct pattern was observed in five of the remaining reports, with the proportion of best performing facilities increasing and the proportion of poor performing facilities decreasing over time. However, between 2016 and 2018, the proportion of best performers declined in some of the programmatic areas. Over the study period, no distinct pattern or trend in proportion changes was observed among facilities in the average and outlier groups. Conclusions The identified clusters revealed general improvements in reporting performance in the various reporting areas over time, but with noticeable decrease in some areas between 2016 and 2018. This signifies the need for continuous performance monitoring with possible integration of machine learning and visualization approaches into national HIV reporting systems.

scholarly journals Enhancing social work education’s diversity-oriented perspective by integrating refugees into higher education: Experiences from the ‘refugee crisis’ in Germany

2021 ◽  
pp. 002087282110082
Author(s):  
Stefan Borrmann
Keyword(s):  
Applied Sciences ◽  
Social Work ◽  
Rural Areas ◽  
Teaching Staff ◽  
Homogeneous Groups ◽  
Course Content ◽  
Global Mindedness ◽  
Universities Of Applied Sciences ◽  
Higher Education Experiences ◽  
Work Education

This note describes how integrating refugees into programs of social work education at universities and universities of applied sciences in Germany influenced the education provided, especially in rural areas where student bodies tend to be homogeneous groups. The refugees enrolled in social work courses changed those mostly homogeneous groups of students not only with their presence but moreover by introducing new perspectives on course content. As the changes prompted shifts in the global mindedness of fellow students and the teaching staff, the quality of the programs was enhanced.

scholarly journals Heterogeneity of government social spending in European Union countries

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Anna Magdalena Korzeniowska
Keyword(s):  
European Union ◽  
Social Factors ◽  
Hierarchical Cluster ◽  
Social Spending ◽  
Clustering Methods ◽  
Social Expenditure ◽  
Homogeneous Groups ◽  
Eu Countries ◽  
Eu Member States ◽  
More Care

AbstractSocial expenditure plays an important role in European Union (EU) countries. It improves the lives of citizens whose welfare is endangered due to poverty or illness. However, social expenditure represents a considerable share of the budgets of EU member states. Despite evident similarities in their levels of development, EU countries show apparent differences in social expenditure levels. Therefore, this work aims to determine the similarities and differences between EU countries in this regard. The analysis uses clustering methods, such as hierarchical cluster analysis and the k-means, to divide countries into homogeneous groups. The research demonstrates significant differences between EU countries in the years 2008–2018, which resulted in a low number of objects (countries) in the identified groups. In the case of 6 out of 28 countries, it was not possible to assign them to any group. The research proves that EU countries should take more care when organising their social policy, taking into consideration cultural and social factors.

scholarly journals Hardy and Rellich inequalities, identities, and sharp remainders on homogeneous groups

2017 ◽  
Vol 317 ◽  
pp. 799-822 ◽  
Author(s):  
Michael Ruzhansky ◽  
Durvudkhan Suragan
Keyword(s):  
Homogeneous Groups

scholarly journals Balancing European SME Managers’ Training Contents: Perceived Importance & Training Needs

2014 ◽  
Vol 5 (2) ◽  
pp. 4-22
Author(s):  
Leonel Morgado ◽  
João Varajão ◽  
Caroline Dominguez ◽  
Irene Oliveira ◽  
Fernanda Sousa
Keyword(s):  
Training Programs ◽  
Training Needs ◽  
Multivariate Techniques ◽  
Business Training ◽  
Homogeneous Groups ◽  
Course Content ◽  
Perceived Importance ◽  
Training Courses ◽  
Training Institutions ◽  
And Training

AbstractBackground: Given the limited available time of in-service professionals, the balance between the perceived importance of the course content and training needs is essential for the acceptance and attractiveness of training courses aimed at them. Objectives: The goal of the paper is to contribute to the development of entrepreneurship and business training programs for European SME managers. Methods/Approach: In six European countries a survey focusing on SME managers’ views on the importance of individual items from a list of potential course content items, and their training needs was carried out, and followed by an analysis using exploratory and multivariate techniques. It was aimed at identifying homogeneous groups of managers with common training needs and perceptions of content importance. Results: Homogeneous groups of managers who assign the same importance to certain competences and who have common training needs are identified. Conclusions: Results of our research could help training institutions to develop courses aimed at SME managers. The balancing approach proved to be an interesting method of combining conflicting requirements for the training course curriculum development.

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