Existence of two-cluster threshold resonances and the N-body Efimov effect

2005 ◽  
Vol 46 (11) ◽  
pp. 112106 ◽  
Author(s):  
Xue Ping Wang ◽  
Yuefei Wang
Keyword(s):  
Efimov Effect ◽  
Cluster Threshold ◽  
Threshold Resonances

Few Body Dynamics, Efimov Effect and Halo Nuclei

2021 ◽  
Author(s):  
Vidya Sagar Bhasin ◽  
Indranil Mazumdar
Keyword(s):  
Halo Nuclei ◽  
Efimov Effect ◽  
Body Dynamics

scholarly journals Efimov effect in a D-dimensional Born–Oppenheimer approach

2018 ◽  
Vol 52 (2) ◽  
pp. 025101 ◽  
Author(s):  
D S Rosa ◽  
T Frederico ◽  
G Krein ◽  
M T Yamashita
Keyword(s):  
Efimov Effect

Erratum: “An elementary exposition of the Efimov effect” [Am. J. Phys. 79, 274–281 (2011)]

2012 ◽  
Vol 80 (1) ◽  
pp. 94-94 ◽  
Author(s):  
Rajat K. Bhaduri ◽  
Arindam Chatterjee ◽  
Brandon P. van Zyl
Keyword(s):  
Efimov Effect

scholarly journals Phylogenetic structure of Shiga toxin-producing Escherichia coli O157:H7 from sub-lineage to SNPs

2021 ◽  
Author(s):  
Timothy J. Dallman ◽  
David R. Greig ◽  
Saheer E. Gharbia ◽  
Claire Jenkins
Keyword(s):  
Escherichia Coli ◽  
Shiga Toxin ◽  
Sequence Similarity ◽  
Evidence Base ◽  
Point Sources ◽  
Single Linkage ◽  
Phylogenetic Structure ◽  
Content Type ◽  
Geographically Dispersed ◽  
Cluster Threshold

Sequence similarity of pathogen genomes can infer the relatedness between isolates as the fewer genetic differences identified between pairs of isolates, the less time since divergence from a common ancestor. Clustering based on hierarchical single linkage clustering of pairwise SNP distances has been employed to detect and investigate outbreaks. Here, we evaluated the evidence-base for the interpretation of phylogenetic clusters of Shiga toxin-producing Escherichia coli (STEC) O157:H7. Whole genome sequences of 1193 isolates of STEC O157:H7 submitted to Public Health England between July 2015 and December 2016 were mapped to the Sakai reference strain. Hierarchical single linkage clustering was performed on the pairwise SNP difference between all isolates at descending distance thresholds. Cases with known epidemiological links fell within 5-SNP single linkage clusters. Five-SNP single linkage community clusters where an epidemiological link was not identified were more likely to be temporally and/or geographically related than sporadic cases. Ten-SNP single linkage clusters occurred infrequently and were challenging to investigate as cases were few, and temporally and/or geographically dispersed. A single linkage cluster threshold of 5-SNPs has utility for the detection of outbreaks linked to both persistent and point sources. Deeper phylogenetic analysis revealed that the distinction between domestic UK and imported isolates could be inferred at the sub-lineage level. Cases associated with domestically acquired infection that fall within clusters that are predominantly travel associated are likely to be caused by contaminated imported food.

scholarly journals Implementasi Single Pass Clustering pada Preprocessing Temu Kembali Koleksi Berita Teks

2020 ◽  
Vol 6 (1) ◽  
pp. 86
Author(s):  
Faisal Rahutomo ◽  
Dwi Puspitasari ◽  
Trie Endah Sulistyoningrum
Keyword(s):  
Single Pass ◽  
Cluster Threshold

Berita saat ini masih menjadi sumber yang dipercaya untuk mendapatkan informasi. Namun seiring dengan perkembangan teknologi berita yang terbit menjadi semakin banyak jumlahnya. Akibat dari jumlah berita yang banyak diperlukan suatu sistem yang dapat dipergunakan untuk menemukan berita dengan cepat. Sistem Temu Kembali menjadi cara yang dapat dipergunakan untuk membantu menangani masalah tersebut. Sistem temu kembali yang ada masih terus dikaji efisiensinya jika berhubungan dengan jumlah informasi yang sangat besar. Makalah ini melakukan pengujian efektifitas dan efisiensi tambahan preprocessing pada sistem temu kembali. Langkahnya yaitu mengklasterkan informasi yang ada terlebih dahulu. Pada preprocesing ini diimplementasikan metode single pass clustering. Kemudian pencocokan query dengan dokumen disederhanakan kepada pencocokan query dengan centroid klaster. Hasil uji coba efisiensi menunjukkan bahwa sistem temu kembali yang mengimplementasikan single pass clustering mampu mencari berita dengan lebih cepat. Sedangkan pengujian efektifitas untuk mengetahui seberapa tepat berita yang bisa diketahui dari nilai pengujian precision, recall, dan f-score. Dari pengujian tersebut didapatkan hasil jika proses pencarian paling tepat dilakukan pada cluster dengan nilai threshold 0,1. Pengujian pada cluster threshold 0,1, f-score terbaik didapatkan ketika dilakukan proses temu kembali berita dengan keyword ‘4g lte’ bernilai 0,732. Sedangkan pengujian f-score terburuk terdapat pada pengujian dengan keyword ‘aplikasi whatsapp’ dengan nilai 0,111. Sedangkan secara umum, sistem yang diusulkan selalu lebih cepat hanya saja lebih rendah nilai performa precision, recall, dan f-score-nya.

Efimov effect in 2-neutron halo nuclei

Pramana ◽  
2010 ◽  
Vol 75 (1) ◽  
pp. 81-86
Author(s):  
Indranil Mazumdar
Keyword(s):  
Halo Nuclei ◽  
Neutron Halo ◽  
Efimov Effect

Efimov effect in coordinate space Faddeev equations

1993 ◽  
Vol 71 (25) ◽  
pp. 4103-4106 ◽  
Author(s):  
D. V. Fedorov ◽  
A. S. Jensen
Keyword(s):  
Coordinate Space ◽  
Efimov Effect ◽  
Faddeev Equations
Sign in / Sign up

Export Citation Format

Share Document