OER Hub Researcher Pack

The OER Hub researcher pack will be of interest to anyone conducting research into the impact of open educational resources (OER) or open education. Building on the earlier release of tools developed, used and released by the OER Hub, the researcher pack provides explanation and guidance on how to use these tools. All material and tools are CC BY licensed and are available for reuse

Information Outlook, February 2007

Volume 11, Issue 2https://scholarworks.sjsu.edu/sla_io_2007/1001/thumbnail.jp

Information Outlook, February 2007

Volume 11, Issue 2https://scholarworks.sjsu.edu/sla_io_2007/1001/thumbnail.jp

Joint and individual analysis of breast cancer histologic images and genomic covariates

A key challenge in modern data analysis is understanding connections between complex and differing modalities of data. For example, two of the main approaches to the study of breast cancer are histopathology (analyzing visual characteristics of tumors) and genetics. While histopathology is the gold standard for diagnostics and there have been many recent breakthroughs in genetics, there is little overlap between these two fields. We aim to bridge this gap by developing methods based on Angle-based Joint and Individual Variation Explained (AJIVE) to directly explore similarities and differences between these two modalities. Our approach exploits Convolutional Neural Networks (CNNs) as a powerful, automatic method for image feature extraction to address some of the challenges presented by statistical analysis of histopathology image data. CNNs raise issues of interpretability that we address by developing novel methods to explore visual modes of variation captured by statistical algorithms (e.g. PCA or AJIVE) applied to CNN features. Our results provide many interpretable connections and contrasts between histopathology and genetics

East Bay Coalition for the Homeless: Branding Study and Marketing Strategy

There are a number of potential positioning strategies. The two which make the most sense for the EBCH are to “position the EBCH away from others in the category” and to “position the EBCH as unique.” These strategies have the advantage of setting the EBCH apart from the other organizations that address homelessness. Occupying its own “position” in the minds of potential and current donors is not only an effective communications/marketing strategy but also a less costly one because it avoids head-to-head competition and comparisons

East Bay Coalition for the Homeless Project: Final Report

The report suggests strategies that can be incorporated into the current work flow and builds upon the current work of the EBCH. The report also presents ways in which to create a more efficient platform for completing marketing tasks, creating opportunities for awareness and knowledge of the EBCH, and increasing consideration of the EBCH as a potential donation focus

Learning non-maximum suppression

Object detectors have hugely profited from moving towards an end-to-end learning paradigm: proposals, features, and the classifier becoming one neural network improved results two-fold on general object detection. One indispensable component is non-maximum suppression (NMS), a post-processing algorithm responsible for merging all detections that belong to the same object. The de facto standard NMS algorithm is still fully hand-crafted, suspiciously simple, and -- being based on greedy clustering with a fixed distance threshold -- forces a trade-off between recall and precision. We propose a new network architecture designed to perform NMS, using only boxes and their score. We report experiments for person detection on PETS and for general object categories on the COCO dataset. Our approach shows promise providing improved localization and occlusion handling.Comment: Added "Supplementary material" titl

Journeys of Transformation: A Training Manual for Engaging Men as Allies in Women's Economic Empowerment

This manual provides group education sessions for engaging men as allies in women's economic empowerment. It emerges from CARE's experience, in Rwanda and elsewhere, that women's economic empowerment works, but that it can be made to work better and to achieve even more movement toward equality when men are deliberately engaged as allies. The activities presented in this manual were developed through a process of action-research involving qualitative and quantitative methods and incorporating the responses, realities, and perspectives of women beneficiaries of economic empowerment (via CARE's Voluntary Savings and Loan Associations, or VSLAs or VSLs) and their male partners. It was developed together with CARE-Rwanda staff, as well as with partners from the Rwandan Men's Resource Centre (Rwamrec)

The Cowl - v.78 - n.10 - Jan 30, 2014

The Cowl - student newspaper of Providence College. Volume 78 - No. 10 - January 30, 2014. 24 pages