A Survey to Determine if a Positive Correlation Exists Between Cost of Production and Rates Charged for Advertising Space in South Dakota Weekly Newspapers

This study will be concerned with advertising income and production expense of South Dakota weekly newspapers from the standpoint of a justified advertising rate. From published advertising rates and expense data received from individual South Dakota weekly newspaper publishers, the author will endeavor to establish an average rate charged per unit of advertising and compare it with an average cost-of producing that unit

Curriculum analytics: Application of social network analysis for improving strategic curriculum decision-making in a research-intensive university

This paper provides insight into the use of curriculum analytics to enhance learning-centred curricula in diverse higher education contexts. Engagement in evidence-based practice to evaluate and monitor curricula is vital to the success and sustainability of efforts to reform undergraduate and graduate programs. Emerging technology-enabled inquiry methods have enormous potential to inform evidence-based practice in complex curriculum settings. For example, curriculum analytics, including data from student learning outcomes, graduate qualities, course selection and assessment activities, can be mined from various student learning systems and analysed to inform curriculum renewal strategies and demonstrate impact at both the program and course level. Curriculum analytics can serve to foster a culture of inquiry and scholarship regarding program improvements that is characterised by information sharing within and across disciplinary borders. This paper presents an innovative technology that draws on social network methodologies for assessing and visualising the integration and linkages across individual courses that ultimately form a student’s complete program of study. Insights are grounded in the literature and curriculum leadership experiences in a Canadian research-intensive university setting

Algebraic analysis of Trivium-like ciphers

Trivium is a bit-based stream cipher in the final portfolio of the eSTREAM project. In this paper, we apply the approach of Berbain et al. to Trivium-like ciphers and perform new algebraic analyses on them, namely Trivium and its reduced versions: Trivium-N, Bivium-A and Bivium-B. In doing so, we answer an open question in the literature. We demonstrate a new algebraic attack on Bivium-A. This attack requires less time and memory than previous techniques which use the F4 algorithm to recover Bivium-A's initial state. Though our attacks on Bivium-B, Trivium and Trivium-N are worse than exhaustive keysearch, the systems of equations which are constructed are smaller and less complex compared to previous algebraic analysis. Factors which can affect the complexity of our attack on Trivium-like ciphers are discussed in detail

Porcine cytokines, chemokines and growth factors: 2019 update

Pigs are a major food source worldwide as well as major biomedical models for human physiology and therapeutics. A thorough understanding of porcine immunity is essential to prevent and treat infectious diseases, and develop effective vaccines and therapeutics. The use of pigs as biomedical models is dependent on the growing molecular and immune toolbox. This paper summarizes current knowledge of swine cytokines, chemokines and growth factors, identifying 289 pig proteins, characterizing knowledge of their gene structures and families. It identifies areas in the current swine genome build that need to be clarified. A broad-based literature and vendor search was conducted to identify defined sets of monoclonal and polyclonal antibodies reacting with porcine cytokines, chemokines, growth factors along with availability of cloned recombinant proteins and assays for their quantitation. This process identified numerous reagents that are reportedly reactive with 170 pig cytokines, chemokines, growth factors: 118 have at least one commercial antibody reagent, 66 a cloned recombinant peptide, and 97 with quantitative assays. This affirms the great need to develop and characterize additional reagents. There are panels of reagents for numerous high priority targets that have been essential reagents for characterizing porcine immunity, disease and vaccine responses, and factors regulating development of innate immune responses, polarized macrophages and lymphoid cells including T regulatory cells. Yet there are many areas requiring investment of efforts to more effectively explore the pig immune system. The development of more reagents to understand the complex of cytokines, chemokines, and growth factors will clearly advance these initiatives

Extending an Open Source Hardware Agri-Robot with Simulation and Plant Re-identification

Previous work constructed an open source hardware (OSH) agri-robot platform for swarming agriculture research. We summarise recent developments from the community on this platform as a case study of how an OSH project can develop. The original platform has been extended by contributions of a simulation package and a vision-based plant-re-identification system used as a target for blockchain-based food assurance. Gaining new participants in OSH projects requires explicit instructions on how to contribute. The system hardware and software is open-sourced at https://github.com/Harry-Rogers/PiCar as part of this publication. We invite others to get involved and extend the platform