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2022

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Keeping People In Their Homes: Boston’S Anti-Foreclosure Movement, Christopher Larson Nov 2022

Keeping People In Their Homes: Boston’S Anti-Foreclosure Movement, Christopher Larson

Humboldt Journal of Social Relations

While high foreclosure rates devastate low-income communities throughout New England, a grassroots movement in Massachusetts works to keep tenants and owners of foreclosed properties in their homes. The combined efforts of legal services attorneys, neighborhood organizers and community developers empower local residents to combat post-foreclosure displacement and regain their voice in the political process. This inter-organizational network is dissected and each organization profiled.


Print3d, A Service-Learning Project For Improving Visually Impaired Accessibility Through Educational 3d Printing, Oscar R. Lozano Nov 2022

Print3d, A Service-Learning Project For Improving Visually Impaired Accessibility Through Educational 3d Printing, Oscar R. Lozano

Journal of Pre-College Engineering Education Research (J-PEER)

Well-executed service-learning projects are a high-value educational element. However, these projects commonly focus on overused topics and unbalanced executions which can produce the opposite effect to that desired when working with groups of people with functional diversity. PRINT3D is a service-learning project aimed at improving accessibility for people with visual disabilities while helping primary and secondary school students learn basic engineering skills through 3D design and printing. Under the support of the European Erasmus+ Programme, this project brought together nongovernmental organizations, teacher professional development centers, business enterprises, and educational centers to collaborate for two school years. The project activities aimed …


How To Train Vision Transformer On Small-Scale Datasets?, Hanan Gani, Muzammal Naseer, Mohammad Yaqub Nov 2022

How To Train Vision Transformer On Small-Scale Datasets?, Hanan Gani, Muzammal Naseer, Mohammad Yaqub

Computer Vision Faculty Publications

Vision Transformer (ViT), a radically different architecture than convolutional neural networks offers multiple advantages including design simplicity, robustness and state-of-the-art performance on many vision tasks. However, in contrast to convolutional neural networks, Vision Transformer lacks inherent inductive biases. Therefore, successful training of such models is mainly attributed to pre-training on large-scale datasets such as ImageNet with 1.2M or JFT with 300M images. This hinders the direct adaption of Vision Transformer for small-scale datasets. In this work, we show that self-supervised inductive biases can be learned directly from small-scale datasets and serve as an effective weight initialization scheme for fine-tuning. This …


Metascriptura: A General Data Provenance Framework, Maria Joseph Israel Nov 2022

Metascriptura: A General Data Provenance Framework, Maria Joseph Israel

Engineering Ph.D. Theses

Digital technology makes it easy to generate and distribute large volumes of data. However, it has also complicated the process of verifying and validating sources of data and their derivatives risking obfuscation of truth amidst the deluge of data. To address this issue, I trace and develop an approach based on data provenance tracking. Specifically, I make it possible to deep trace the origins and lineages of data, by applying state-of-the-art data provenance technologies, which I extend beyond traditional data provenance applications. In this dissertation, I demonstrate that with the right data infrastructure it is feasible to grant greater agency …


Mesoptroph, A Database Of Trophic Parameters To Study Interactions In Mesopelagic Food Webs, Mónica A. Silva, Catarina T. Fonseca, M. Pilar Olivar, Ainhoa Bernal, Jérôme Spitz, Tiphaine Chouvelon, Sigrún Jonasdottir, Ana Colaço, Vanda Carmo, Tracey Sutton, Gui Menezes, Tone Falkenhaug, Odd Aksel Bergstad, Sergi Pérez-Jorge Nov 2022

Mesoptroph, A Database Of Trophic Parameters To Study Interactions In Mesopelagic Food Webs, Mónica A. Silva, Catarina T. Fonseca, M. Pilar Olivar, Ainhoa Bernal, Jérôme Spitz, Tiphaine Chouvelon, Sigrún Jonasdottir, Ana Colaço, Vanda Carmo, Tracey Sutton, Gui Menezes, Tone Falkenhaug, Odd Aksel Bergstad, Sergi Pérez-Jorge

Marine & Environmental Sciences Faculty Articles

Mesopelagic organisms play a crucial role in marine food webs, channelling energy across the predator-prey network and connecting depth strata through their diel vertical migrations. The information available to assess mesopelagic feeding interactions and energy transfer has increased substantially in recent years, owing to the growing interest and research activity in the mesopelagic realm. However, such data have not been systematically collated and are difficult to access, hampering estimation of the contribution of mesopelagic organisms to marine ecosystems. Here we present MesopTroph, a georeferenced database of diet, trophic markers, and energy content of mesopelagic and other marine taxa compiled from …


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Mgrre_Thinsections_Moc-16_1, Mgrre Nov 2022

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