Grid based binary holography (GBH) is an attractive method for patterning with light or matter waves. It is an approximate technique in which different holographic masks can be used to produce similar patterns. Here we present an optimal design method for GBH masks that allows for freely selecting the fraction of open holes in the mask from below 10% to above 90%. Open-fraction is an important ...

Motivated by the desire to image exosolar planets, recent work by us and others has shown that high-contrast imaging can be achieved using specially shaped pupil masks. To date, the masks we have designed have been symmetric with respect to a cartesian coordinate system but were not rotationally invariant, thus requiring that one take multiple images at different angles of rotation about the ce...

Mass customization research explores the design and production of individualized products at mass product costs. Model-based configuration systems allow the customer to configure an individualized product. With increasing product and configuration complexity, ways of simplifying configuration for the customer are required. This paper discusses some principles of model-based configuration and in...

Influenza viruses circulate around the world every year. From time to time new strains emerge and cause global pandemics. Many national and international health agencies recommended the use of face masks during the 2009 influenza A (H1N1) pandemic. We reviewed the English-language literature on this subject to inform public health preparedness. There is some evidence to support the wearing of m...

There is sufficient evidence indicating that masks, if worn properly and consistently, are an effective nonpharmaceutical intervention in the control of disease spread. The use of masks during a pandemic can minimize the spread of influenza and its economic impact, yet mask-wearing compliance in adults is often poor. Educating the public on the effectiveness of masks can increase compliance whi...

We propose to learn pixel-level segmentations of objects from weakly labeled (tagged) internet videos. Specifically, given a large collection of raw YouTube content, along with potentially noisy tags, our goal is to automatically generate spatiotemporal masks for each object, such as “dog”, without employing any pre-trained object detectors. We formulate this problem as learning weakly supervis...

This work examines a weakness in re-using masks for masked Galois inversion, specifically in the masked Galois multipliers. Here we show that the mask re-use scheme included in our work[1] cannot result in “perfect masking,” regardless of the order in which the terms are added; explicit distributions are derived for each step. The same problem requires new masks in the subfield calculations, no...

The role of phonological infonnation in English word identification and the activation pattern of phonological and associative dimensions were investigated with a backward-masking paradigm. Mask type (graphemic, homophonic, associative, unrelated word control, and nonletter #-baseline) and target exposure duration were manipulated. Graphemic and homophonic but not associative masks influenced t...