Clarifying The Meaning Of Extracurricular Activity: A Literature Review Of Definitions

Participation in extracurricular activities has long been recognized as having important benefits for business students, including the development of competencies relevant to future career success. Unfortunately, a review of the literature suggests that what constitutes an extracurricular activity remains ambiguous and unclear as no generally-accepted definition has been established in the literature. Instead, the meaning is often described in terms of examples. It is argued that the lack of a definition hampers research because it does not allow for proper classification of activities. The purpose of this study is to address this gap through a review of the relevant literature. Based on the review, definitions for extracurricular and co-curricular are proposed along with additional clarifications. Implications for scholars and academic advising are also provided

Boise City-Nampa MSA Employment and Industry Analysis

This report is the first component of a four-part study on skills alignment of Boise State University graduates and Boise City-Nampa Metropolitan Statistical Area (MSA) employers. This report frames the local economic and social environment through a demographic and socio-economic comparative analysis of the Boise City -Nampa MSA and 20 peer MSAs across the western United States. An employment analysis of the Boise City-Nampa MSA at the industry sector and industry sub-sector is also provided, identifying how the industry composition has changed following the Great Recession, which industries show area competitiveness through resilience to employment loss, if not growth, as well as which industries are heavily embedded within the Treasure Valley when compared to the nation. The employment analysis \u27es directly into an industry sector analysis of the Treasure Valley. Interviews and focus groups with local business owners, economic developers and chambers of commerce representatives were conducted in early 2013 to provide insight into the local economy and its industry sectors. The report has potential to provide useful information for state and local representatives and institution a3emp\u27ng to foster a competitive region through policies and meeting employment and employer needs for successful outcomes. These three analyses comprise the first part of the larger four-part study

A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders

<div><p>Information on crop pedigrees can be used to help maximise genetic gain in crop breeding and allow efficient management of genetic resources. We present a pedigree resource of 2,657 wheat (<i>Triticum aestivum</i> L.) genotypes originating from 38 countries, representing more than a century of breeding and variety development. Visualisation of the pedigree enables illustration of the key developments in United Kingdom wheat breeding, highlights the wide genetic background of the UK wheat gene pool, and facilitates tracing the origin of beneficial alleles. A relatively high correlation between pedigree- and marker-based kinship coefficients was found, which validated the pedigree and enabled identification of errors in the pedigree or marker data. Using simulations with a combination of pedigree and genotype data, we found evidence for significant effects of selection by breeders. Within crosses, genotypes are often more closely related than expected by simulations to one of the parents, which indicates selection for favourable alleles during the breeding process. Selection across the pedigree was demonstrated on a subset of the pedigree in which 110 genotyped varieties released before the year 2000 were used to simulate the distribution of marker alleles of 45 genotyped varieties released after the year 2000, in the absence of selection. Allelic diversity in the 45 varieties was found to deviate significantly from the simulated distributions at a number of loci, indicating regions under selection over this period. The identification of one of these regions as coinciding with a strong yield component quantitative trait locus (QTL) highlights both the potential of the remaining loci as wheat breeding targets for further investigation, as well as the utility of this pedigree-based methodology to identify important breeding targets in other crops. Further evidence for selection was found as greater linkage disequilibrium (LD) for observed versus simulated genotypes within all chromosomes. This difference was greater at shorter genetic distances, indicating that breeder selections have conserved beneficial linkage blocks. Collectively, this work highlights the benefits of generating detailed pedigree resources for crop species. The wheat pedigree database developed here represents a valuable community resource and will be updated as new varieties are released at <a href="https://www.niab.com/pages/id/501/UK_Wheat_varieties_Pedigree" target="_blank">https://www.niab.com/pages/id/501/UK_Wheat_varieties_Pedigree</a>.</p></div

Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture for long-term genetic gains in wheat

Cereal crop breeders have achieved considerable genetic gain in genetically complex traits, such as grain yield, while maintaining genetic diversity. However, focus on selection for yield has negatively impacted other important traits. To better understand multi-trait selection within a breeding context, and how it might be optimized, we analysed genotypic and phenotypic data from a genetically diverse, 16-founder wheat multi-parent advanced generation inter-cross population. Compared to single-trait models, multi-trait ensemble genomic prediction models increased prediction accuracy for almost 90 % of traits, improving grain yield prediction accuracy by 3–52 %. For complex traits, non-parametric models (Random Forest) also outperformed simplified, additive models (LASSO), increasing grain yield prediction accuracy by 10–36 %. Simulations of recurrent genomic selection then showed that sustained greater forward prediction accuracy optimized long-term genetic gains. Simulations of selection on grain yield found indirect responses in related traits, involving optimized antagonistic trait relationships. We found multi-trait selection indices could effectively optimize undesirable relationships, such as the trade-off between grain yield and protein content, or combine traits of interest, such as yield and weed competitive ability. Simulations of phenotypic selection found that including Random Forest rather than LASSO genetic models, and multi-trait rather than single-trait models as the true genetic model accelerated and extended long-term genetic gain whilst maintaining genetic diversity. These results (i) suggest important roles of pleiotropy and epistasis in the wider context of wheat breeding programmes, and (ii) provide insights into mechanisms for continued genetic gain in a limited genepool and optimization of multiple traits for crop improvement

Direct Observation of Cosmic Strings via their Strong Gravitational Lensing Effect: II. Results from the HST/ACS Image Archive

We have searched 4.5 square degrees of archival HST/ACS images for cosmic strings, identifying close pairs of similar, faint galaxies and selecting groups whose alignment is consistent with gravitational lensing by a long, straight string. We find no evidence for cosmic strings in five large-area HST treasury surveys (covering a total of 2.22 square degrees), or in any of 346 multi-filter guest observer images (1.18 square degrees). Assuming that simulations ccurately predict the number of cosmic strings in the universe, this non-detection allows us to place upper limits on the unitless Universal cosmic string tension of G mu/c^2 < 2.3 x 10^-6, and cosmic string density of Omega_s < 2.1 x 10^-5 at the 95% confidence level (marginalising over the other parameter in each case). We find four dubious cosmic string candidates in 318 single filter guest observer images (1.08 square degrees), which we are unable to conclusively eliminate with existing data. The confirmation of any one of these candidates as cosmic strings would imply G mu/c^2 ~ 10^-6 and Omega_s ~ 10^-5. However, we estimate that there is at least a 92% chance that these string candidates are random alignments of galaxies. If we assume that these candidates are indeed false detections, our final limits on G mu/c^2 and Omega_s fall to 6.5 x 10^-7 and 7.3 x 10^-6. Due to the extensive sky coverage of the HST/ACS image archive, the above limits are universal. They are quite sensitive to the number of fields being searched, and could be further reduced by more than a factor of two using forthcoming HST data.Comment: 21 pages, 18 figure

Limited haplotype diversity underlies polygenic trait architecture across 70 years of wheat breeding

Background Selection has dramatically shaped genetic and phenotypic variation in bread wheat. We can assess the genomic basis of historical phenotypic changes, and the potential for future improvement, using experimental populations that attempt to undo selection through the randomizing effects of recombination. Results We bred the NIAB Diverse MAGIC multi-parent population comprising over 500 recombinant inbred lines, descended from sixteen historical UK bread wheat varieties released between 1935 and 2004. We sequence the founders’ genes and promoters by capture, and the MAGIC population by low-coverage whole-genome sequencing. We impute 1.1 M high-quality SNPs that are over 99% concordant with array genotypes. Imputation accuracy only marginally improves when including the founders’ genomes as a haplotype reference panel. Despite capturing 73% of global wheat genetic polymorphism, 83% of genes cluster into no more than three haplotypes. We phenotype 47 agronomic traits over 2 years and map 136 genome-wide significant associations, concentrated at 42 genetic loci with large and often pleiotropic effects. Around half of these overlap known quantitative trait loci. Most traits exhibit extensive polygenicity, as revealed by multi-locus shrinkage modelling. Conclusions Our results are consistent with a gene pool of low haplotypic diversity, containing few novel loci of large effect. Most past, and projected future, phenotypic changes arising from existing variation involve fine-scale shuffling of a few haplotypes to recombine dozens of polygenic alleles of small effect. Moreover, extensive pleiotropy means selection on one trait will have unintended consequences, exemplified by the negative trade-off between yield and protein content, unless selection and recombination can break unfavorable trait-trait associations

Accessibility, sustainability, excellence: How to expand access to research publications. Executive summary

This article is a summary, by the authors, of a 140-page report prepared in 2012 by the UK Working Group on Expanding Access to Published Research Findings, chaired by British sociologist and academic administrator Janet Finch, DBE. The Working Group was charged with recommending how to develop a model that would be effective and sustainable over time, for expanding access to the published fi ndings of research. The whole report, which can be accessed at http://www.researchinfonet.org/wp-content/uploads/2012/06/Finch-Group-report-FINAL-VERSION.pdf [http://tinyurl.com/d2lxqks], has been published under a Creative Commons License Attribution 3.0 Unported. This is the fi rst of a series of Perspectives articles devoted to the Open Access Initiative that will be published in INTERNATIONAL MICROBIOLOGY. Our journal already published an Editorial on the topic in 2004 (Guerrero R &amp; Piqueras M, Int Microbiol 7:157-161), and strongly supports open access. [Int Microbiol 2013; 16(2):125-132

Evolution of Anthropometric and Physical Performance Characteristics of International Male Cricketers from 2014 to 2020 in a World Cup Winning Nation

The aim of the study was to firstly, present a comprehensive physical profile of international cricketers in a World Cup winning cricket nation. Secondly, to describe changes in physical profiles across seven years. Fifty-two senior international cricketers’ physical profiles were retrospectively analysed across seven years. Using linear mixed-modelling, changes in stature, body mass, sum-of-8 skinfolds, sprinting time (10 and 40 m), run-2 time, counter movement jump (CMJ), push and pull strength capacity and the Yo-Yo intermittent recovery test level-1 (Yo-Yo-IR1) were analysed during a seven year period. There were no significant changes in body mass (p = 0.63) or stature (p = 0.99) during this time. However, there was a significant (p < 0.001) mean decrease of ∼ 14 mm in the sum-of-8 skinfolds. Distance covered in the Yo-Yo-IR1 also showed a significant (p = 0.002) effect of years, with a mean increase of 459 m in 2017 when compared to 2014. A significantly (p = 0.01) more balanced push-to-pull strength capacity ratio was also evident across years as a result of a significant (p < 0.001) increase in pull strength capacity. Significant (p < 0.05) fluctuations in CMJ, sprint and run-2 time were seen, with no obvious trends. International cricketers within our study have gone through a notable physical transformation that has likely resulted in an increase in lean mass and aerobic capacity. The change across time to a more balanced push-to-pull strength capacity may be beneficial for injury prevention

Accessibility, sustainability, excellence: how to expand access to research publications. Executive summary

This article is a summary, by the authors, of a 140-page report prepared in 2012 by the UK Working Group on Expanding Access to Published Research Findings, chaired by British sociologist and academic administrator Janet Finch, DBE. The Working Group was charged with recommending how to develop a model that would be effective and sustainable over time, for expanding access to the published fi ndings of research. The whole report, which can be accessed at http://www.researchinfonet.org/wp-content/uploads/2012/06/Finch-Group-report-FINAL-VERSION.pdf [http://tinyurl.com/d2lxqks], has been published under a Creative Commons License Attribution 3.0 Unported. This is the fi rst of a series of Perspectives articles devoted to the Open Access Initiative that will be published in INTERNATIONAL MICROBIOLOGY. Our journal already published an Editorial on the topic in 2004 (Guerrero R &amp; Piqueras M, Int Microbiol 7:157-161), and strongly supports open access. [Int Microbiol 2013; 16(2):125-132

Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture for long-term genetic gains in wheat

Cereal crop breeders have achieved considerable genetic gain in genetically complex traits, such as grain yield, while maintaining genetic diversity. However, focus on selection for yield has negatively impacted other important traits. To better understand multi-trait selection within a breeding context, and how it might be optimized, we analysed genotypic and phenotypic data from a genetically diverse, 16-founder wheat multi-parent advanced generation inter-cross population. Compared to single-trait models, multi-trait ensemble genomic prediction models increased prediction accuracy for almost 90 % of traits, improving grain yield prediction accuracy by 3–52 %. For complex traits, non-parametric models (Random Forest) also outperformed simplified, additive models (LASSO), increasing grain yield prediction accuracy by 10–36 %. Simulations of recurrent genomic selection then showed that sustained greater forward prediction accuracy optimized long-term genetic gains. Simulations of selection on grain yield found indirect responses in related traits, involving optimized antagonistic trait relationships. We found multi-trait selection indices could effectively optimize undesirable relationships, such as the trade-off between grain yield and protein content, or combine traits of interest, such as yield and weed competitive ability. Simulations of phenotypic selection found that including Random Forest rather than LASSO genetic models, and multi-trait rather than single-trait models as the true genetic model accelerated and extended long-term genetic gain whilst maintaining genetic diversity. These results (i) suggest important roles of pleiotropy and epistasis in the wider context of wheat breeding programmes, and (ii) provide insights into mechanisms for continued genetic gain in a limited genepool and optimization of multiple traits for crop improvement