322 research outputs found
Contribution of functional genes implicated in the N cycle to compositional dissimilarity as determined by SIMPER.
No full textContribution of functional genes implicated in the N cycle to compositional dissimilarity as determined by SIMPER.</p
The SIMPER analysis for the control group.
No full textThe predicted OTUs by SIMPER analysis drive differences found between pre- and post-surgery in control group. (XLSX)</p
The SIMPER analysis for the PI group.
No full textThe predicted OTUs by SIMPER analysis to drive differences found between pre- and post-surgery in PI group. (XLSX)</p
SIMPER analysis of density (N/1000 hooks) and biomass (kg/1000 hooks) computed for the stations using J-hook 9 in the SML coral province.
No full text<p>SIMPER analysis of density (N/1000 hooks) and biomass (kg/1000 hooks) computed for the stations using J-hook 9 in the SML coral province.</p
Rubric Authoring Tool for Supporting the Development and Assessment of Cognitive Skills in Higher Education
No full textThis paper explores a method to support instructors in assessing cognitive skills in their course, designed to enable aggregation of data across an institution. A rubric authoring tool, ‘BASICS’ (Building Assessment Scaffolds for Intellectual Cognitive Skills) was built as part of the Queen’s University Learning Outcomes Assessment (LOA) Project. It provides a workflow for assessment choices and generates an assessment rubric that can be tailored to individual needs based on user input. The dimensions and criteria in BASICS were adapted from the Valid Assessment of Learning in Undergraduate Education (VALUE) rubrics, and drew on annotations from over 900 work samples from the LOA project. This paper summarizes the development of the tool, and presents initial reliability and validity data from a pilot study. The pilot found that the BASICS developed rubric was consistent for the assessment of critical thinking and problem solving. The pilot compared assessment data derived from course Teaching Assistants with that of trained Research Assistants. Analysis found moderate intraclass correlation coefficients between the BASICS rubric and corresponding VALUE rubric dimensions, suggesting that the BASICS rubric aligned with the VALUE criteria. Preliminary findings suggest that BASICS is an effective tool for instructors to author rubrics, tailored to their own specifications for assessment of cognitive skills in a course. It is also promising as a method for aggregation of data across the institution. Researchers are conducting further investigation to evaluate the reliability of BASICS rubrics over multiple work samples from a range of disciplinary contexts
Similarity analysis (SIMPER) among populations, showing differences in genera abundance between Santa Margarita (N = 37) and Dana Point Headlands (N = 5) with the average relative abundance (Avg abundance), average dissimilarity along with standard deviation (Avg Dissimilarity ± SD), percent (%) contribution, and percent cumulative.
No full textSimilarity analysis (SIMPER) among populations, showing differences in genera abundance between Santa Margarita (N = 37) and Dana Point Headlands (N = 5) with the average relative abundance (Avg abundance), average dissimilarity along with standard deviation (Avg Dissimilarity ± SD), percent (%) contribution, and percent cumulative.</p
Data (1. Distributional matrix / 2. SIMPER analysis) pertinent to Zajonz et al. (Zootaxa submitted 2022, Parrotfishes of Socotra)
No full textData underpinning the biogeographic analysis in Zajonz et al. (submitted, to Zootaxa 2022), representing (1.) the distributional records and (2.) the SIMPER results pertinent to the most valid ANOSIM
Accounting for environmental factors, bias and negative numbers in efficiency estimation: A bootstrapping application to the Hong Kong banking sector
No full textThis paper examines the evolution of Hong Kong’s banking industry’s technical efficiency, and its macroeconomic determinants, during the period 2000-2006 through the prism of two alternative approaches to efficiency estimation, namely the intermediation and production approaches. Using a modified (Sharp, Meng and Liu, 2006) slacks-based model (Tone, 2001), and purging the efficiency estimates for random errors (Simar and Zelenyuk, 2007) , we firstly analyse the trends in bank efficiency. We then identify the ‘environmental’ factors that significantly affect the efficiency scores using an adaptation (Kenjegalieva et al. 2009) of the truncated regression approach suggested by Simar and Wilson. 2007). The first part of the analysis reveals that the Hong Kong banking industry suffered a severe downturn in estimated technical efficiency during 2001. It subsequently recovered, posting average efficiency scores of 92 per cent and 85 percent under the intermediation and production approaches respectively by the end of 2006. As for the sub-group analysis, commercial banks are, on average, shown to be the most efficient operators, while the investment bank group are shown to be the least efficient. Finally, with respect to the truncated regression analysis, the results suggest that smaller banks are more efficient than their larger counterparts, although larger banks are still able to enjoy gains from scale economies and benefit from the export of financial services. Moreover, private housing rent and the net export of goods and services are found to be negatively correlated with bank efficiency, while private consumption is shown to be positively correlated.Hong Kong Banks; DEA; Slacks; Environmental factors, Negative numbers; Bias.
A relativistic density functional study on the uranium hexafluoride and plutonium hexafluoride monomer and dimer species
No full textA study on the UF6 monomer and dimer was carried out within the density functional method. The U-F distance in the UF6 monomer was optimized at different levels of theory, pointwise, assuming octahedral geometry, (1) by using an all-electron basis for both U and F in a nonrelativistic calculation; (2) by using a relativistic effective core potential (RECP) on U and nonrelativistic effective core potential (ECP) on the fluorines; and (3) by using RECP on the U atom and an all-electron basis on the F atoms. Atomization energies of 23.11, 33.92, and 35.66 eV were obtained at the three levels, respectively. Relativistic effects lead to about a 50% increase in the atomization energy. For the UF6 dimer, the potential energy curve, as a function of the intermolecular U-U distance, was computed at level 2, and the rotational barrier between the two monomers was determined. Similar calculations were performed on the corresponding PuF6 species. Comparisons are made with experiment and other theoretical studies, where available
A Productivity analysis of Eastern European banking taking into account risk decomposition and environmental variables
No full textThis paper develops a new Luenberger productivity which is applied to a technology where the desirable and undesirable outputs are jointly produced and are possibly negative. The components of this Luenberger productivity index - the efficiency change and the components of the technological shift - are then decomposed into factors determined by the technology, adjusted for ‘risk and environment’, ‘risk management’ and ‘environmental effects’. The method is applied to Central and Eastern European banks operating during 1998–2003 utilising three alternative input/output methodologies (intermediation, production and profit/revenue). Additionally, the comparative analysis of the sensitivity of the productivity indices in the choice of the methodologies is undertaken using statistical and kernel density tests. It is found that the main driver of productivity change in Central and Eastern European banks is technological improvement, which, in the beginning of the analysed period, hinged on the banks’ ability to capitalise on advanced technology and successfully take into account risk and environmental factors. Whereas, in the later sampled periods, we show that one of the most important factors of technological improvement/decline is risk management. Finally, the tests employed confirm previous findings, such as Pasiouras (2008) in this journal, that different input/output methodologies produce statistically different productivity results. Indeed, we also find that external factors, such as a risk in the economy and banking production, and a ‘corruption perception’ affect the productivity of banks.Luenberger productivity index; DEA; banking; undesirable outputs; negative data.
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