1,740 research outputs found
Episode 21: Matt Eicheldinger: Educator Turned Author
No full textMatt Eicheldinger, B.A. \u2709, M.A. \u2712 is an educator who used stories from his life to motivate his middle school students. When he found that not only were these stories effective, when written down, they inspired even the most reluctant of readers. This put Matt down a path of becoming a published author. In 2021, he launched a Kickstarter campaign to self-publish Matt Sprouts and The Curse of Ten Broken Toes. When the book became a hit, he was able to sign with an agent who quickly sold Matt Sprouts to a publisher. Matt shares how he became interested in being an educator, how he navigated the process of becoming a published author, and his future plans for more books
Fathers 4 Justice [Hardcover] Matt O'Connor (Author)
No full text5 Photographs published within the first book from Matt O'Connor, a freelance marketing consultant and family law campaigner. This is Matt O'Connor's personal account of the most controversial protest movement of recent times, FATHERS 4 JUSTICE. Fearlessly honest and utterly irreverent Matt's own story will appeal to anyone whose family relationships have been torn to pieces by divorce and the family courts system
<b>A Machine Learning training platform via the NeSI Research Developer Cloud</b>
No full textTraining in an HPC environment can present some upfront challenges and barriers to access. It’s not always user friendly, a level of skills and technology maybe required, passwords, 2FA, versioning, OS for the users and from the infrastructure and delivery side the need to manage and support that. NeSI's Research Developer Cloud is being utilized to deliver scalable, researcher, instructor and support friendly training environments. Removing some of the barriers, making it easier to adapt, modify and engage with target audiences.This talk was was presented at Supercomputing Asia 2024 (SCAsia 2024) by Matt Bixley, Research Support Specialist.For more information on NeSI's Training Service, visit:https://www.nesi.org.nz/services/trainingFor more information about NeSI's Research Developer Cloud, visit:https://www.nesi.org.nz/services/high-performance-computing-and-data-analytics/platforms/flexible-high-performance-cloudFor more information on NeSI's attendance at SCAsia 2024, visit:https://www.nesi.org.nz/news/2024/04/connecting-leaders-hpc-and-ai-across-asia-pacific-region</p
Book of the Month: Matt Haig’s The Midnight Library
No full textAuthor: Nick Kelson-Packer Weber State University Our book of the month recommendation is Matt Haig’s novel The Midnight Library. Imagine slipping into a parallel world where instead of getting that chocolate sundae at your local ice cream parlor, you instead opted for a parfait somewhere else. This choice then led you to meet someone new, someone who invites you to join them in exotic, overseas adventures. That is the premise of Matt Haig’s new book, The Midnight Library. Matt Haig is a reno..
Sy Montgomery and Matt Patterson: 2024 Cook Prize Gold Medal Winners
No full textAuthor Sy Montgomery and illustrator Matt Patterson\u27s video for The Book of Turtles (Clarion)https://educate.bankstreet.edu/cook/1012/thumbnail.jp
Reproducible posters an Otago theme
No full textThe endpoint of most research is a publication, be that a journal article (hopefully in
Nature), a conference presentation or a lab meeting. The premise of Reproducible Research
is that not only do we now present a summary of our findings, but we also make available
the details, code and (where possible) the data that lead to those findings. Various tools
exist to assist us in sharing our work and documenting our workflows. One extremely
popular tool for this is R Markdown, which provides the ability to write, document and
publish in a single workflow.Here we present, postOTAGO an R package for creating posters with an Otago theme, that is
readily transferable to other organisations. ABOUT THE AUTHOR(S) Matt is a Carpentries Instructor and Teaching/Research Fellow at the University of Otago.
His research background extends from laboratory and field work through quantitative
genetics and bioinformatics. Matt’s current research focus is on the use of machine learning
tools to predict cancer outcomes. </div
Native Prediction of Cancer Outcomes using Machine Learning
No full text
Prediction of 5 year cancer outcomes from histology images has been undertaken using
machine learning (ML), artificial intelligence (AI) and deep learning techniques, by multiple
international research groups, with success for a number of different cancers (e.g., breast
and colorectal). A key outcome in this approach is the easy translation of technology to
allow pathologists to access the applications in their workflow. An extension to the idea of
outcome prediction is to use histology image data to estimate genomic characteristics of a
tumour, such as those often derived from gene expression data – examples include
molecular subtype, proliferation rate, oncogenic pathway activation, and genomic
instability.
Typically the training process involves the hand delineation of 100s if not 1000s of slides to
identify regions of interest and remove aberrations to improve accuracy. While some
automation has been attempted, here we present a naive approach to estimate the
accuracy with minimal human intervention. Currently the work has been applied to stomach
cancer slides from The Cancer Genome Atlas (TCGA), using both patient outcome data, and
genomic data on the molecular characteristics of the tumour.
ABOUT THE AUTHORS
Matt Bixley is a Carpentries Instructor and Teaching/Research Fellow at the University of Otago.
His research background extends from laboratory and field work through quantitative
genetics and bioinformatics. Matt’s current research is on the use of Machine Learning tools
to predict cancer outcomes.
Mik Black received a BSc(Hons) in statistics from the University of Canterbury, and a MSc
(mathematical statistics) and PhD (statistics) from Purdue University. After completing his
PhD in 2002, Mik returned to New Zealand to work as a lecturer in the Department of
Statistics at the University of Auckland. An ongoing involvement in a number of Dunedin-based collaborative genomics projects resulted in a move to the University of Otago in 2006,
where he now leads a research group focused on the development and application of
statistical methods for the analysis of data from genomics experiments, with a particular
emphasis on human disease. Mik has also been heavily involved in major initiatives
designed to put in place sustainable national research infrastructure for NZ: Genomics
Aotearoa and NZ Genomics Limited for genomics, digital literacy training via The
Carpentries, and NeSI (New Zealand eScience Infrastructure) for high performance
computing and eResearch.
</div
Carpentries at Otago
No full textAs part of a strategic initiative from the Division of Health Sciences at the University of
Otago, a project was established to increase researchers’ use of “big data” in research
projects. The first steps taken in beginning to build this capability were to ramp up both the
delivery of Software and Data Carpentry workshops, and the training of local instructors in
The Carpentries pedagogy. As part of this initiative, Murray and Matt have been delivering
and facilitating Carpentries workshops across the multiple University of Otago campuses
(Dunedin, Christchurch, Wellington), developing additional training materials and lessons,
and supporting other groups in the use of Carpentries pedagogy for non-Carpentries
workshops. In this talk we will discuss some of the impacts this initiative has had on
delivering Carpentries workshops, and on the Carpentries community at Otago.ABOUT THE AUTHOR(S)
Murray Cadzow is a Teaching Fellow and Postdoctoral Fellow at the University of Otago. He
is both a Carpentries instructor and instructor trainer. His teaching focus is on delivering
digital literacy training to researchers, and the development and support of the local
Carpentries community at Otago. His research involves the use of large datasets to
investigate the genetic basis of Gout in Māori and Polynesian populations.Matt Bixley a Carpentries Instructor and Teaching/Research Fellow at the University of
Otago. His research background extends from Lab and Field work through Quantitative
Genetics and Bioinformatics. Current research is in the use of Machine Learning tools to
predict cancer outcomes.Mik received a BSc(Hons) in statistics from the University of Canterbury, and a MSc
(mathematical statistics) and PhD (statistics) from Purdue University. After completing his
PhD in 2002, Mik returned to New Zealand to work as a lecturer in the Department of Statistics at the University of Auckland. An ongoing involvement in a number of Dunedinbased collaborative genomics projects resulted in a move to the University of Otago in 2006,
where he now leads a research group focused on the development and application of
statistical methods for the analysis of data from genomics experiments, with a particular
emphasis on human disease. Mik has also been heavily involved in major initiatives
designed to put in place sustainable national research infrastructure for NZ: Genomics
Aotearoa and NZ Genomics Limited for genomics, digital literacy training via The
Carpentries, and NeSI (New Zealand eScience Infrastructure) for high performance
computing and eResearch.</div
Matt de la Peña Josette Frank Award 2022 Acceptance Speech
No full textAuthor Matt de la Peña wins the Josette Frank Award (for young readers) 2022 for Milo Imagines the World from Bank Street College Children\u27s Book Committee.
The Josette Frank Award
This award for fiction honors a book or books of outstanding literary merit in which children or young people deal in a positive and realistic way with difficulties in their world and grow emotionally and morally. The award has been given annually since 1943. Josette Frank, the editor of anthologies for children, served for many years as the Executive Director of the Child Study Association of America of which this committee was a part.https://educate.bankstreet.edu/cbc_awards/1001/thumbnail.jp
Interview with Matt Mendez
No full textMatt Mendez, author of Twitching Heart, a collection of short stories, and Barely Missing Everythin
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