Exploring Ugandan Cultural Model of Work through Interviews with Ugandan Immigrants in Canada

The problem of chronic unemployment and low wages among immigrants in Canada is widely discussed in academia and official reports. Culture, as one of the factors proposed to account for the existing employment and wage gaps between immigrants and Canadian-born population, remains poorly understood. The current study contributes to the understanding of this factor by applying a theory of cultural models to explore Ugandan cultural model of work through interviews with Ugandan immigrants in Canada. The researcher adopted an outsider-to-insider position and employed person-centered interviewing to generate data. Linguistic analysis of keywords, metaphors, reasoning, and descriptions of behaviors was used to uncover the public aspect of the cultural model of work in Uganda. Results of the study suggest that the cultural model of work in Uganda has a tri-dimensional structure, with vertical and horizontal dimensions reflecting relationships based on hierarchy, and a third dimension reflecting relationships based on belonging to a group. The model’s terminal values of power, authority, and respect and dominant feelings of fear and belongingness serve as major motivating factors at the workplace. Results of the study are discussed in the context of immigrant integration into the Canadian labour market. Strengths and weaknesses of employed theory and methodology are discussed and recommendations for the theory development are given. In addition, comparative analysis of Canadian and Ugandan cultural models of work is recommended to inform the problem of immigrant unemployment and low wages among immigrants in Canada

The relationship between CSR disclosure and accounting conservatism : The role of state ownership

The literature has explored an association between corporate social responsibility (CSR) disclosure and accounting conservatism. This paper investigates how state ownership moderates this relationship in the context of the emerging Russian economy. Using a sample of 223 publicly listed Russian companies for the period of 2012–2017, we find that companies with higher CSR disclosure tend to have more conservative financial reporting practices. We observe, however, that state ownership has a negative moderating effect on this association, in line with agency theory. Moreover, we explore the unique structure of Russian companies’ state ownership, whereby public companies often have a combination of federal, regional, and municipal state ownership, the outcome of privatization reform. We find that federal state ownership alone or in combination with regional or municipal levels of state ownership has a significantly negative impact on the CSR disclosure–accounting conservatism association. We find no evidence that a regional or municipal level of state ownership, a combination of regional and municipal levels of state ownership, or a combination of all three levels has an impact on the association between CSR disclosure and reporting conservatism. We address the recent call for a contextualized approach that focuses on institutional, legal, and cultural features of different economies to advance our knowledge of the antecedents of CSR disclosure, its association with reporting quality, and the factors that moderate it.© 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

Economic Impacts of Drought in Utah: Uintah and Ouray Reservation

Sustaining agricultural production on tribal lands will become progressively more challenging in the future due to decreased water availability, extended droughts, and changes in precipitation amounts and timing. The objective of this fact sheet is to illustrate the economic impacts of drought on agriculture and the economy of the Uintah and Ouray Reservation in Utah

NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins

NCBI's reference sequence (RefSeq) database () is a curated non-redundant collection of sequences representing genomes, transcripts and proteins. The database includes 3774 organisms spanning prokaryotes, eukaryotes and viruses, and has records for 2 879 860 proteins (RefSeq release 19). RefSeq records integrate information from multiple sources, when additional data are available from those sources and therefore represent a current description of the sequence and its features. Annotations include coding regions, conserved domains, tRNAs, sequence tagged sites (STS), variation, references, gene and protein product names, and database cross-references. Sequence is reviewed and features are added using a combined approach of collaboration and other input from the scientific community, prediction, propagation from GenBank and curation by NCBI staff. The format of all RefSeq records is validated, and an increasing number of tests are being applied to evaluate the quality of sequence and annotation, especially in the context of complete genomic sequence

Impacts of Drought on Tribal Economies in Nevada

Sustaining agricultural production (e.g., crops, food, livestock) on tribal lands will become progressively more challenging in the future due to decreased water availability, extended droughts, and changes in precipitation amounts and timing. The objective of this fact sheet is to illustrate the economic impacts of drought on agriculture and reservation economies in Nevada

Impacts of Drought on Tribal Economies in Arizona

Sustaining agricultural production on tribal lands will become progressively more challenging in the future due to decreased water availability, extended droughts, and changes in precipitation amounts and timing. The objective of this fact sheet is to illustrate the economic impacts of drought on agriculture and reservation economies in Arizona. Arizona is the fourth driest state in the United States, with average yearly precipitation of 11.24 inches, and 78% of the state experienced abnormally dry conditions over the past 20 years. The results discussed here cover five reservations located in Arizona, including the Hopi Tribe, Navajo Nation, San Carlos Apache Tribe, Tohono O’odham Nation, and White Mountain Apache Tribe

Asymptotic and numerical methods for high-frequency scattering problems

This thesis is concerned with the development, analysis and implementation of efficient and accurate numerical methods for solving high-frequency acoustic scattering problems. Classical boundary or finite element methods that are based on approximating the solution by polynomials can be effective for small and moderate frequencies. However, as the frequency increases, the solution to the scattering problem becomes more oscillatory and classical numerical methods cope very badly with high oscillation. For example, for two-dimensional scattering problems, classical numerical methods require their number of degrees of freedom to grow at least linearly with frequency to capture the oscillatory behaviour of the solution accurately. Therefore, at large frequencies, classical numerical methods become essentially numerically intractable. In order to overcome the limitations of classical methods, one can seek to incorporate the known asymptotic behaviour of the solution in the numerical method. This involves using asymptotic theory to determine the oscillatory part of the solution and then using classical numerical methods to approximate the slowly varying remainder. Such methods are often referred to as hybrid numerical-asymptotic methods. Determining the high frequency asymptotics of acoustic scattering problems is a classic problem in applied mathematics, with methods such as geometrical optics or the geometrical theory of diffraction providing asymptotic expansions of the solutions. Considerable amount of research has been directed towards both constructing these asymptotic expansions and proving error bounds for truncated asymptotic series of the solution, notably by Buslaev [23], Morawetz and Ludwig [78], and Melrose and Taylor [75], among others. Often, the oscillatory component of the solution can be determined explicitly from these asymptotic expansions. This can then be used in designing ecient hybrid methods. Furthermore, from the asymptotic expansions, frequency-dependent bounds on the slowly-varying remainder and its derivatives can be obtained (in some cases these follow directly from classical results, in other cases some additional work is required). The frequency-dependent bounds are the key results used in the frequency-explicit numerical error analysis of the approximation of the slowly-varying remainder. This thesis presents a rigorous justification of one of the key result using only elementary techniques. Hybrid numerical-asymptotic methods have been shown in theory to be substantially more efficient than classical numerical methods alone. For example, [40] presented a hybrid numerical-asymptotic method in the context of boundary integral equations (BIEs) for solving the problem of high-frequency scattering by smooth, convex obstacles in two dimensions. It was proved in [40] that in order to maintain the accuracy as the frequency increases, the hybrid BIE method requires the number of degrees of freedom to grow slightly faster than k1=9, where k is a parameter proportional to the frequency. This is a substantial improvement from the classical boundary integral methods that require O(k) number of degrees of freedom to achieve the same accuracy for this problem. Despite this slow growth in the number of degrees of freedom, hybrid numerical-asymptotic methods lead to stiffness matrices with entries that are highly-oscillatory singular integrals that can not be computed exactly. Thus, without efficient and accurate numerical treatment of these integrals, the hybrid numerical-asymptotic methods, regardless of their attractive theoretical accuracy, can not be efficiently implemented in practice. In order to resolve this difficulty, this thesis develops a methodology for approximating the integrals arising from hybrid methods in the context of BIEs. The integrals are transformed under a change of variables into integrals amenable to Filon-type quadratures. Filon-type quadratures are designed to cope well with high oscillations in the integrands. Then, graded meshes are used to capture the singularities accurately. Along with k-explicit error bounds for the integration methods, this thesis derives k-explicit error bounds for the hybrid BIE methods that incorporate the error of the inexact approximation of the entries of the stiffness matrix. The error bounds suggest that, with an appropriate choice of parameters of Filon quadrature and mesh grading, the overall error of the hybrid method does not deteriorate due to inexact approximation of the stiffness matrix, therefore preserving its attractive theoretical convergence properties.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Entrez Gene: gene-centered information at NCBI

Entrez Gene () is NCBI's database for gene-specific information. Entrez Gene includes records from genomes that have been completely sequenced, that have an active research community to contribute gene-specific information or that are scheduled for intense sequence analysis. The content of Entrez Gene represents the result of both curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases and from other databases within NCBI. Records in Entrez Gene are assigned unique, stable and tracked integers as identifiers. The content (nomenclature, map location, gene products and their attributes, markers, phenotypes and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases) is provided via interactive browsing through NCBI's Entrez system, via NCBI's Entrez programing utilities (E-Utilities), and for bulk transfer by ftp