144 research outputs found
Letter from Frank G. Muench, May 25, 1942
Annotated form letter from Frank G. Muench regarding the fact that Lincoln Christian Center in Sacramento, California helped their Japanese friends move safely to Walerga camp [= Sacramento Assembly Center] about 10 miles from Sacramento.The Japanese American Archival Collection documents the people, places, and daily life of Japanese Americans, primarily those who lived in the once thriving community of pre-war Florin in the Sacramento region, as well as the conditions in American incarceration camps during World War II. The approximately 7,000 original items include personal and official letters, photographs, diaries, arts and crafts, newsletters, textiles, camps artifacts, yearbooks and other publications
Metal Nanotube/Nanowire-Based Unsupported Network Electrocatalysts
Combining 1D metal nanotubes and nanowires into cross-linked 2D and 3D architectures represents an attractive design strategy for creating tailored unsupported catalysts. Such materials complement the functionality and high surface area of the nanoscale building blocks with the stability, continuous conduction pathways, efficient mass transfer, and convenient handling of a free-standing, interconnected, open-porous superstructure. This review summarizes synthetic approaches toward metal nano-networks of varying dimensionality, including the assembly of colloidal 1D nanostructures, the buildup of nanofibrous networks by electrospinning, and direct, template-assisted deposition methods. It is outlined how the nanostructure, porosity, network architecture, and composition of such materials can be tuned by the fabrication conditions and additional processing steps. Finally, it is shown how these synthetic tools can be employed for designing and optimizing self-supported metal nano-networks for application in electrocatalysis and related fields
Electroless Plating of Metal Nanomaterials
Electroless plating is commonly associated with metallizing macroscopic work pieces, but also represents a surprisingly powerful nanomanufacturing tool. This review details the technique's use for creating nanomaterials of arbitrary dimensionality, ranging from nanoparticles over nanotubes, nanowires, and ultrathin films to nanostructured lattices, focusing on the solution chemistry and mechanistic aspects. The synthesis of defined nanostructures serves as overarching perspective, which is enriched by drawing connections to and insights from related fields. Strategies for controlling the size, shape, crystallinity, porosity, composition, and arrangement of electrolessly plated nanostructures are outlined, including templating (which harnesses the method's exceptional conformality to guide and limit deposit formation), the complementary approach of selective growth, tailored seeding, and bath design. Being able to strike convincing compromises between material quality and ease of preparation, electroless nanoplating has a distinct potential to facilitate the application of metal nanomaterials
Electroless Plating of Metal Nanomaterials
Electroless plating is commonly associated with metallizing macroscopic work pieces, but also represents a surprisingly powerful nanomanufacturing tool. This review details the technique's use for creating nanomaterials of arbitrary dimensionality, ranging from nanoparticles over nanotubes, nanowires, and ultrathin films to nanostructured lattices, focusing on the solution chemistry and mechanistic aspects. The synthesis of defined nanostructures serves as overarching perspective, which is enriched by drawing connections to and insights from related fields. Strategies for controlling the size, shape, crystallinity, porosity, composition, and arrangement of electrolessly plated nanostructures are outlined, including templating (which harnesses the method's exceptional conformality to guide and limit deposit formation), the complementary approach of selective growth, tailored seeding, and bath design. Being able to strike convincing compromises between material quality and ease of preparation, electroless nanoplating has a distinct potential to facilitate the application of metal nanomaterials
Metal Nanotube/Nanowire-Based Unsupported Network Electrocatalysts
Combining 1D metal nanotubes and nanowires into cross-linked 2D and 3D architectures represents an attractive design strategy for creating tailored unsupported catalysts. Such materials complement the functionality and high surface area of the nanoscale building blocks with the stability, continuous conduction pathways, efficient mass transfer, and convenient handling of a free-standing, interconnected, open-porous superstructure. This review summarizes synthetic approaches toward metal nano-networks of varying dimensionality, including the assembly of colloidal 1D nanostructures, the buildup of nanofibrous networks by electrospinning, and direct, template-assisted deposition methods. It is outlined how the nanostructure, porosity, network architecture, and composition of such materials can be tuned by the fabrication conditions and additional processing steps. Finally, it is shown how these synthetic tools can be employed for designing and optimizing self-supported metal nano-networks for application in electrocatalysis and related fields
Learning to Predict Motion from Raw 3D Object Detections
We show how to design a motion prediction algorithm that works with 3D object detections and map locations. In particular, we obtain object id’s – even though the training data does not contain any object id’s – across multiple time-steps into the future by propagating a Gaussian Mixture of likely object (e.g., vehicle) locations through time.We validate our approach on the nuScenes dataset. First, we find that a motion prediction algorithm without tracking id’s performs as well as motion prediction algorithm with tracking id’s in the training data. Second, the 3D labels of an on-board perception system are inferior (e.g., loss of detections, positional uncertainty) to those generated by offline labelling (automatic labelling pipeline, manual labelling). Even so, we find that a moderate increase in the size of the training data offsets the deterioration in prediction performance (with no additional offline labelling).Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Intelligent Vehicle
Animations: The Photospheric Footpoints of Solar Coronal Hole Jets
This repository provides the individual animations of the SDO/AIA and HMI magnetograms of Jets 1, 2, 3, corresponding to jets 14, 32, 35 in Table 1 of the accepted manuscript, "The Photospheric Footpoints of Solar Coronal Hole Jets".
jet1-aia193.mp4: AIA 193A movie of Jet 1
jet1-hmimag.mp4: HMI magnetograms movie of Jet 1
jet1-aia193-hmi-contour.mp4: AIA 193A with HMI contours movie of Jet 1
fig1anim.mp4: Concatenation of Jet 1 movies shown in Figure 1 of the accepted manuscript.
jet2-aia193.mp4: AIA 193A movie of Jet 2
jet2-hmimag.mp4: HMI magnetograms movie of Jet 2
jet2-aia193-hmi-contour.mp4: AIA 193A with HMI contours movie of Jet 2
fig4anim.mp4: Concatenation of Jet 2 movies shown in Figure 4 of the accepted manuscript.
jet3-aia193.mp4: AIA 193A movie of Jet 3
jet3-aia304.mp4: AIA 304A movie of Jet 3
jet3-hmimag.mp4: HMI magnetograms movie of Jet 3
jet3-aia193-hmi-contour.mp4: AIA 193A with HMI contours movie of Jet 3
fig6anim.mp4: Concatenation of Jet 3 movies shown in Figure 6 of the accepted manuscript.This work has been supported by NSF (AGS-1159353) and NASA (project 80NSSC18K0716). AIA and HMI data are courtesy of NASA/SDO and the AIA and HMI science teams. The author would like to thank P.R. Young for the analysis of the EIS data. This research has made use of NASA's Astrophysics Data System
Principal induction: principals' perceptions, 1998
This study served a dual purpose: (1) to assess thedegree to which principals received the practices that current literature describes as being advantageous in an induction program for newly appointed principals; and (2) to recommend a literature-based, principal influenced principal induction program for the DeKalb County School System. Current literature in the field provides sparse information on needs of newly hired principals during their infant years and strategies used in school districts to induct principals. Through this study's description of induction experiences stated as advantageous to an induction program, educators and school systems can gain insight into induction practices that could assist principals during their first three years of school leadership. The subjects of the study were 155 principals active during the 1996-97 school year in the metropolitan Atlanta RESA. In this quantitative investigation, data for the study were obtained through a 142-item questionnaire that focused on induction practices research indicated were important for newly hired principals. These induction practices were clustered into seven construct areas: Personal Aspects of Induction, Time Periods of Induction, Job-Specific Content, Profession-Specific Content, Induction Focus, Mentoring, and Sequencing Induction Activities. Mean scores indicated that principals rated all seven constructs at an inadequate to less than adequate level of received induction. The respondents stated each induction construct was important to include in an induction program for newly hired principals. The ANOVA test revealed significant differences in the principals' perception of the induction they received with respect to Personal Aspects of Induction, Job-Specific Content, Profession-Specific Content, and Induction Focus practices. A difference was also found in the category pertinent to years of current principalship experience. The findings indicated that the induction practices considered important by current literature and principals were not being received during the first three years of principalship. Recommendations for implementing or improving a formal school district induction program should follow the seven construct areas, with a special focus on formalization of an induction plan, planning thorough school and community orientation, and mentoring
Composable Q- functions for pedestrian car interactions
We propose a novel algorithm that predicts the interaction of pedestrians with cars within a Markov Decision Process framework. It leverages the fact that Q-functions may be composed in the maximum-entropy framework, thus the solutions of two sub-tasks may be combined to approximate the full interaction problem. Sub-task one is the interaction-free navigation of a pedestrian in an urban environment and sub-task two is the interaction with an approaching car (deceleration, waiting etc.) without accounting for the environmental context (e.g. street layout). We propose a regularization scheme motivated by the soft-Bellman-equations and illustrate its necessity. We then analyze the properties of the algorithm in detail with a toy model. We find that as long as the interaction-free sub-task is modelled well with a Q-function, we can learn a representation of the interaction between a pedestrian and a car
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