325 research outputs found
Rory O\u27More
Courtship of Rory O\u27More and Kathleen Bawnhttps://egrove.olemiss.edu/kgbsides_uk/1961/thumbnail.jp
Reinforcement of injectable hydrogels through melt electro-written structures: Influence of shape and pore size on the injection force
Hydrogels are commonly used for tissue engineering applications due to their high water content, biocompatibility, injectability, and ability to mimic the extracellular matrix of native tissues. However, their weak mechanical properties limit their use, especially in load-bearing applications. In this study, we developed fibrous architectures with a pre-defined shape using melt electro-writing (MEW) to strengthen injectable hydrogels. We assessed the injection forces required to successfully extrude the hydrogel reinforced with MEW-printed structures, varying their geometry (square/hexagonal pores) and pore sizes (0.6, 0.8, 1.0 mm) through needles having a size compatible with clinical applications. Our findings indicate that MEW structures with hexagonal pores exhibit a higher tensile modulus than those with square pores. Additionally, the injection forces required to extrude hydrogels embedding MEW structures through needles were greater for hexagonal pores. Thinner pores and smaller needle diameters resulted in higher injection forces; a few conditions among the ones tested were compatible with the limits defined by the EU ISO 7886–1:2018 standard. After injection and crosslinking, hydrogels reinforced with MEW structures showed improved mechanical properties (up to 6.34-fold), particularly when structures with hexagonal pores were used
Stephen Partridge & Erik Kwakkel (eds.). Author, Reader, Book: Medieval Authorship in Theory and Practice
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Divorce tools & techniques.
Here are proven tactics, based on author Rory T. Weiler's 30 years of experience, for handling the common issues and complex problems that you encounter in your divorce practice
Open Educational Resources
The production, licensing, use and re-use of learning objects accessible through open access distribution will be the focus of this presentation. Noted author and scholar Dr. Rory McGreal will share his knowledge of the increasing opportunities and challenges associated with the open access publication of learning materials
Early Shakespeare, 1588-1594
Early Shakespeare, 1588–1594 draws together leading scholars of text, performance, and theatre history to offer a rigorous re-appraisal of Shakespeare's early career. The contributors offer rich new critical insights into the theatrical and poetic context in which Shakespeare first wrote and his emergence as an author of note, while challenging traditional readings of his beginnings in the burgeoning theatre industry. Shakespeare's earliest works are treated on their own merit and in their own time without looking forward to Shakespeare's later achievements; contributors situate Shakespeare, in his twenties, in a very specific time, place, and cultural moment. The volume features essays about Shakespeare's early style, characterisation, and dramaturgy, together with analysis of his early co-authors, rivals, and influences (including Lyly, Spenser and Marlowe). This collection provides essential entry points to, and original readings of, the poet-dramatist's earliest extant writings and shines new light on his first activities as a professional author
The Behavioral Economics Guide 2014 (with a foreword by George Loewenstein and Rory Sutherland)
CONTENTS Foreword by George Loewenstein and Rory Sutherland Part 1 - The Basics - An Introduction to Behavioral Economics - Selected Behavioral Economics Concepts - References Part 2 - Resources - Books Read by 'Behavioral Economics Group' Members - Scholarly Journals with Behavioral Economics Content - Postgraduate Programs in Behavioral Economics and Behavioral/Decision Science Part 3 - Applied Perspectives Psychology and Behavioral Economics in Practice Appendix - Author and Contributing Organization Profile
Pictures of You : Ten Journeys in Time
"The 20th century took history out of the hands of historians and gave it to photographers. in Pictures of You, best-selling author Rory MacLean (Stalin's Nose, Berlin:Imagine a City) draws on the world's largest archive of amateur photography to discover ten real lives, one from each decade of that century. The first killing of the Cold War, the dying hopes of a doomed aviator, the ghosts of Native America at Alcatraz, Chairman Mao's most timid lover; ten journeys in time, ten forgotten voices that echo down from the past, ten intimate stories that mirror our own." -- p. [2] of cover
Melt crystallization of PLA/Talc in fused filament fabrication
sponsorship: This work is supported by Advanced Research Center for Polymer Processing Engineering of Guangdong Province (201808), and Natural Science Foundation of Jiangsu Province (BK20180774). Jie Zhang would like to acknowledge his wife Jue Huang for the help in graphic design, and for marrying him. The authors would like to thank Rory Gibney from KU Leuven for his support in language modification. (Advanced Research Center for Polymer Processing Engineering of Guangdong Province|201808, Natural Science Foundation of Jiangsu Province|BK20180774)status: Publishe
Using supervised learning techniques to predict kicking outcomes in the NFL
This purpose of this research project is to use supervised machine learning techniques in order to predict the outcome of kicks in the National Football League (NFL). There are 2 types of kicks that will be analysed in parallel; field goals and point after touchdowns (PATs). The motivation for this project came from a personal interest in the sport, and the knowledge that the sport is becoming every increasingly influenced by data driven decision making. Kickers are amongst the most important players on any NFL team. Understanding the conditions in which kickers perform better or worse can greatly help in the decision-making process for NFL team coaches. Models that predict kicking outcomes can also be retrospectively used to analyse whether a kicker, in the past, has made the kicks the model has predicted they should male. This paper aims to investigate various classification techniques to establish an optimal model in predicting whether a kicker will successfully make a kick or not, and potentially use this model to make real-time, in-game decisions. Feature selection will play a pivotal role in this process and will distinguish this research from other similar research undertaken to date. This analysis will help NFL team’s make decisions around what kickers are considered better than others, and ultimately help with difficult roster decisions. Various models were implemented, including naïve bayes, logistic regression and random forest. The overarching results summissed that predicting unsuccessful kick attempts is a much more difficult proposition than successful kick attempts; with a ranging accuracy between 25 and 90% respectively
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