scholarly journals Macroinvertebrate and algal community sample collection methods and data collected at selected sites in the Eagle River watershed, Colorado, 2000-07

Data Series ◽  
10.3133/ds502 ◽  
2010 ◽  
Author(s):  
Robert E. Zuellig ◽  
James F. Bruce

2014 ◽  
Vol 11 (3) ◽  
pp. 1-15
Author(s):  
Ike Arisanti ◽  
Isti Fadah ◽  
Novi Puspitasari

This study purposes to analyze the influence of financial and non financial factors to prediction of the rating islamic bond in indonesia. The study used independent variable,that is financial factor (growth, size, profit sharing/fee, liquidity) and non financial factor ( secure and maturity) and dependent variable that is the rating of islamic bond. This study applied logistic regresion analysis with sample collection methods using purposive sampling. After selecting fixed criterias, there were 25 islamic bonds chosen with the numbers of 75 investigation from periods of 2010-2012. The result of this study showed that significantly effect the variable growth (X1) , size(X2), profit sharing/ fee (X3), liquidity (X4), secure (X5), maturity (X6) simultaneously to the rating prediction of islamic bond in indonesia. Partially, variable variables of growth (X1) , size (X2), profit sharing/ fee (X3) which referred not significant affecting to the rating prediction of islamic bond in indonesia. Meanwhile, variables of liquidity (X4), secure (X5), maturity ( X6) referred significant affecting to the rating prediction of islamic bond in indonesia.



2009 ◽  
Vol 37 (1) ◽  
pp. 42-44 ◽  
Author(s):  
Luca Giovanella ◽  
Luca Ceriani ◽  
Sergio Suriano ◽  
Stefano Crippa


2015 ◽  
Vol 10 (9) ◽  
pp. 1485-1504 ◽  
Author(s):  
Vincent Thomas ◽  
James Clark ◽  
Joël Doré


2013 ◽  
Vol 68 (394) ◽  
pp. 40-44 ◽  
Author(s):  
Jakeline Fernandes Cabral ◽  
Marco Antônio Pereira da Silva ◽  
Rafaella Belchior Brasil ◽  
Thiago Soares Carvalho ◽  
Cristiane Isabô Giovannini ◽  
...  


2020 ◽  
Vol 27 (11) ◽  
pp. 3157-3160
Author(s):  
Martin Massányi ◽  
Ladislav Kohút ◽  
María-José Argente ◽  
Marko Halo ◽  
Anton Kováčik ◽  
...  


mSphere ◽  
2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Doratha A. Byrd ◽  
Rashmi Sinha ◽  
Kristi L. Hoffman ◽  
Jun Chen ◽  
Xing Hua ◽  
...  

ABSTRACT Few previous studies have assessed stability and “gold-standard” concordance of fecal sample collection methods for whole-genome shotgun metagenomic sequencing (WGSS), an increasingly popular method for studying the gut microbiome. We used WGSS data to investigate ambient temperature stability and putative gold-standard concordance of microbial profiles in fecal samples collected and stored using fecal occult blood test (FOBT) cards, fecal immunochemical test (FIT) tubes, 95% ethanol, or RNAlater. Among 15 Mayo Clinic employees, for each collection method, we calculated intraclass correlation coefficients (ICCs) to estimate stability of fecal microbial profiles after storage for 4 days at ambient temperature and concordance with immediately frozen, no-solution samples (i.e., the putative gold standard). ICCs were estimated for multiple metrics, including relative abundances of select phyla, species, KEGG k-genes (representing any coding sequence that had >70% identity and >70% query coverage with respect to a known KEGG ortholog), KEGG modules, and KEGG pathways; species and k-gene alpha diversity; and Bray-Curtis and Jaccard species beta diversity. ICCs for microbial profile stability were excellent (≥90%) for fecal samples collected via most of the collection methods, except those preserved in 95% ethanol. Concordance with the immediately frozen, no-solution samples varied for all collection methods, but the number of observed species and the beta diversity metrics tended to have higher concordance than other metrics. Our findings, taken together with previous studies and feasibility considerations, indicated that FOBT cards, FIT tubes, and RNAlater are acceptable choices for fecal sample collection methods in future WGSS studies. IMPORTANCE A major direction for future microbiome research is implementation of fecal sample collections in large-scale, prospective epidemiologic studies. Studying microbiome-disease associations likely requires microbial data to be pooled from multiple studies. Our findings suggest collection methods that are most optimal to be used standardly across future WGSS microbiome studies.



2016 ◽  
Vol 17 (5) ◽  
pp. 577-582 ◽  
Author(s):  
Giovanni Cagnoni ◽  
Sara Giordana Rimoldi ◽  
Cristina Pagani ◽  
Claudio Savi ◽  
Fabrizio Stefani ◽  
...  


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