scholarly journals Generic effective source for scalar self-force calculations

2012 ◽  
Vol 85 (10) ◽  
Author(s):  
Barry Wardell ◽  
Ian Vega ◽  
Jonathan Thornburg ◽  
Peter Diener
Keyword(s):  
Self Force ◽  
Effective Source

scholarly journals Effective source approach to self-force calculations

2011 ◽  
Vol 28 (13) ◽  
pp. 134010 ◽  
Author(s):  
Ian Vega ◽  
Barry Wardell ◽  
Peter Diener
Keyword(s):  
Self Force ◽  
Effective Source

Lr80: A new and widely effective source of leaf rust resistance of wheat for enhancing diversity of resistance among modern cultivars

2021 ◽  
Author(s):  
Subodh Kumar ◽  
Subhash C. Bhardwaj ◽  
Om P. Gangwar ◽  
Akanksha Sharma ◽  
Naeela Qureshi ◽  
...  
Keyword(s):  
Leaf Rust ◽  
Rust Resistance ◽  
Leaf Rust Resistance ◽  
Effective Source

scholarly journals Capitalising on faith? An intergenerational study of social and religious capital among Baby Boomers and Millennials in Britain

2021 ◽  
Vol 69 (4) ◽  
pp. 862-880
Author(s):  
Stuart Fox ◽  
Esther Muddiman ◽  
Jennifer Hampton ◽  
Ekaterina Kolpinskaya ◽  
Ceryn Evans
Keyword(s):  
Social Capital ◽  
Baby Boomers ◽  
Social Institutions ◽  
Economic Security ◽  
Religious Capital ◽  
Intergenerational Study ◽  
The Uk ◽  
Active Generation ◽  
Effective Source

Intergenerational inequalities in economic security, health and political participation are frequently associated with inequalities in access to social capital. Millennials (those born after 1982) are often regarded as the least civically active generation, suggesting that they have less access to social capital, compared to other generations. Numerous studies have linked the decline of religion with falling social capital, as younger generations are deprived of a valuable source of social interaction; others, however, have claimed the link between the two is spurious because Millennials have developed different ways of interacting with social institutions and each other. Despite various studies exploring links between forms of religious and social capital, the role of religious decline in contributing to the intergenerational inequalities of today remains unclear. This study examines how religious capital is related to social capital for Baby Boomers and Millennials in the UK. Our analysis shows that while lower levels of religious capital are contributing to lower levels of social capital among Millennials, religious activity is also a more effective source of social capital for Millennials than their elders. We discuss possible interpretations of our data, including exploring whether greater religious engagement among Millennials may protect against intergenerational inequality and conflict.

scholarly journals Use of an Alignment-Free Method for the Geographical Discrimination of GTPVs Based on the GPCR Sequences

2021 ◽  
Vol 9 (4) ◽  
pp. 855
Author(s):  
Tesfaye Rufael Chibssa ◽  
Yang Liu ◽  
Melaku Sombo ◽  
Jacqueline Kasiiti Lichoti ◽  
Janchivdorj Erdenebaatar ◽  
...  
Keyword(s):  
Lumpy Skin Disease ◽  
Alignment Free ◽  
Central Asian ◽  
Source Tracing ◽  
Geographical Regions ◽  
Gpcr Gene ◽  
Geographical Discrimination ◽  
Sequence Profiles ◽  
G Protein Coupled ◽  
Effective Source

Goatpox virus (GTPV) belongs to the genus Capripoxvirus, together with sheeppox virus (SPPV) and lumpy skin disease virus (LSDV). GTPV primarily affects sheep, goats and some wild ruminants. Although GTPV is only present in Africa and Asia, the recent spread of LSDV in Europe and Asia shows capripoxviruses could escape their traditional geographical regions to cause severe outbreaks in new areas. Therefore, it is crucial to develop effective source tracing of capripoxvirus infections. Earlier, conventional phylogenetic methods, based on limited samples, identified three different nucleotide sequence profiles in the G-protein-coupled chemokine receptor (GPCR) gene of GTPVs. However, this method did not differentiate GTPV strains by their geographical origins. We have sequenced the GPCR gene of additional GTPVs and analyzed them with publicly available sequences, using conventional alignment-based methods and an alignment-free approach exploiting k-mer frequencies. Using the alignment-free method, we can now classify GTPVs based on their geographical origin: African GTPVs and Asian GTPVs, which further split into Western and Central Asian (WCA) GTPVs and Eastern and Southern Asian (ESA) GTPVs. This approach will help determine the source of introduction in GTPV emergence in disease-free regions and detect the importation of additional strains in disease-endemic areas.

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