2,256 research outputs found
New (Probabilistic) Derivation of Diaz-Metcalf and Pólya-Szegő Inequalities and Consequences
Classical inequalities of Diaz - Metcalf and Pólya - Szegő are generalized to
probabilistic setting which covers the initial deterministic (both discrete and integral) variants.
From these two inequalities, by the probabilistic derivation method further well -
known inequalities are obtained (that ones by Kantorovich, Rennie and Schweitzer)
Feature Profile - Part-Time Faculty and Alumnus Brenton Diaz
Brenton Diaz received both his BSW and MSW at York University, as well as receiving a BA in Social Development Studies at the University of Waterloo. While studying for his MSW, his Practice-Based Research Paper analyzed the services provided to Mexican Migrant Farm Workers in Canada and was awarded the Gerry Erickson Prize for Best Paper. He currently teaches several courses in the School of Social Work at York University, and has also taught at Lakehead University and Georgian College, as well as in several post-secondary institutions in Lithuania, Kenya and the Ukraine. He works as the Clinical Coordinator of the Adult Program at Cedar Centre, an agency based in York Region that works with people who have experienced interpersonal trauma as children (his position at Cedar Centre began as a BSW placement, arranged by York when his original placement fell through). Brenton has also consulted with local agencies and community leaders on violence and trauma in Malawi, Dominican Republic and Rwanda
Writers Talk with Junot Diaz and Kathy Reichs
Junot Diaz talks to OSU student Anne Lucy McGreevy about his novels, including his most recent This is How You Lose Her. Bones author Kathy Reichs discusses her novels and television work with OSU student and Lantern reporter Hailey Kim.The media can be accessed here: http://streaming.osu.edu/knowledgebank/WritersTalk-Audio/WT_2012-9-24_Junot_Diaz_Kathy_Reichs.mp3Ohio State University. Center for the Study and Teaching of Writin
Using Social Data as Context for Making Recommendations: An Ontology based Approach
Web-based knowledge systems support an impressive and growing amount of information. Among the difficulties faced by these systems is the problem of overwhelming the user with a vast amount of data, often referred to as information overload. The problem has escalated with the ever increasing issues of time constraints and the extensive use of handheld devices. The use of context is one possible way out helping with this situation. To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web. As the social web is heavily used it could provide a better understanding of a user’s interests and intentions. The proposed system gathers information about users from their social web identities and enriches it with ontological knowledge. Thus an interest model for the user can be created which can serve as a good source of contextual knowledge. This work bridges the gap between the user and system searches by analyzing the virtual existence of a user and making interesting recommendations accordingly
2019-2020: Joanna Diaz
Poet Joanne Diaz is the recipient of fellowships from the Illinois Arts Council, the National Endowment for the Arts, and the Sustainable Arts Foundation. She is the author of My Favorite Tyrants (University of Wisconsin Press, 2014) and The Lessons (Silverfish Review Press, 2011), and with Ian Morris, she is the co-editor of The Little Magazine in Contemporary America (University of Chicago Press, 2015). She is an Associate Professor of English at Illinois Wesleyan University.https://thekeep.eiu.edu/lionsinwinter_writers/1040/thumbnail.jp
Using social data as context for making recommendations (semantics of people and culture)
This research explores the potential of utilising social Web data as a source of contextual information for searching and information retrieval tasks. While using a semantic and ontological approach to do so, it works towards a support system for providing adaptive and personalised recommendations for Cultural Heritage Resources. Most knowledge systems nowadays support an impressive amount of information and in case of Web based systems the size is ever growing. Among other difficulties faced by these systems is the problem of overwhelming the user with a vast amount of unrequired data, often referred to as information overload. The problem is elevated with the ever increasing issues of time constraint and extensive use of handheld devices. Use of context is a possible way out of this situation. To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web. As the social Web is used the most amongst today’s Web users, it can provide better understanding about a user’s interests and intentions. The proposed system gathers information about users from their social Web identities and enriches it with ontological knowledge and interlinks this mapped data with LOD resources online e.g., DBpedia. Thus, designing an interest model for the user can serve as a good source of contextual knowledge. This work bridges the gap between the user and search by analysing the virtual existence of a user and making interesting recommendations accordingly. i This work will open a way for the vast amount of structured data on Cultural Heritage to be exposed to the users of social networks, according to their tastes and likings.<br/
Molecular Dynamics Study of Wettability and Pitch Effects on Maximum Critical Heat Flux in Evaporation and Pool Boiling Heat Transfer
Molecular dynamics (MD) simulations were employed to investigate the effects of wettability (contact angle) and pitch on nanoscale evaporation and pool boiling heat transfer of a liquid argon thin film on a horizontal copper substrate topped with cubic nano-pillars. The liquid-solid potential was incrementally altered in order to vary the contact angle between hydrophilic (~0°) and hydrophobic (~127°), and the pitch (distance between nano-pillars) was varied between 21.7Å and 106.6Å to observe the resultant effect on boiling heat transfer enhancement. For each contact angle the superheat was gradually increased to initiate nucleate boiling and eventually pass the critical heat flux (CHF) into the film boiling regime. The CHF increases significantly with pitch (up to 57%), and tends to increase substantially with decreasing contact angle. A maximum overall heat flux of 1.59x108 W/m2 occurs at the largest pitch investigated (106.6Å), and as the contact angle increases the superheat required to reach the CHF condition also increases. Finally, in certain cases of small pitch and large contact angle, the liquid film was seen to transition to a Cassie-Baxter state, which greatly hindered heat transfer.Peer reviewe
A molecular dynamics study of phobic/philic nano-patterning on pool boiling heat transfer
Molecular dynamics (MD) simulations were employed to investigate the pool boiling heat transfer of a liquid argon thin film on a flat, horizontal copper wall structured with vertical nanoscale pillars. The efficacy of phobic/philic nano-patterning for enhancing boiling heat transfer was scrutinized. Both nucleate and explosive boiling modes were considered. An error analysis demonstrated that the typical 2.5σ cutoff in MD simulations could under-predict heat flux by about 8.7%, and 6σ cutoff was chosen here in order to maintain high accuracy. A new coordination number criterion was also introduced to better quantify evaporation characteristics. Results indicate that the argon-phobic/philic patterning tends to either have no effect, or decrease overall boiling heat flux, while the argon-philic nano-pillar/argon-philic wall shows the best heat transfer performance.Peer reviewe
Mascolinità all’italiana: Cinema, teatro e letteratura
Sara Diaz is a contributing author, The Physiology of Masculinity in Dante’s Florence .https://digitalcommons.fairfield.edu/modernlanguagesandliterature-books/1005/thumbnail.jp
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