Environmental education in a dual immersion classroom

The research question addressed in this project was, how can environmental education curricula be implemented in dual immersion classrooms? It describes how the author used a unit planning framework designed for dual immersion to adapt lessons from the environmental education curriculum Project WILD for her first grade Spanish immersion class. Both curriculum design and action research were incorporated into the project. She details the process of modifying the lessons, what happened when she implemented the lessons in her classroom, and how the lessons improved students’ content knowledge, language abilities, and appreciation for the environment. She concludes that environmental education can be particularly effective in an immersion setting because of the opportunities for experiential learning and meaningful language practice it provides

Comparing Past Board Assembly iNEMI Roadmaps to Technology Outcomes

This project compares past board assembly roadmaps with actual technological outcomes, examining the progression of predictions across seven significant aspects of board assembly covered in the 1994, 2002, 2007, 2013 and 2017 roadmaps: 1) Conversion Costs, 2) NPI Cycle Time, 3) Component Trends, 4) Solder Paste, 5) Bar Solder, 6) Wave Solder Flux and 7) Die Attach Adhesives. It should be noted that there are discrepancies between these roadmaps—from general outline to the many aspects of board assembly that are investigated. This project aims to bridge these discrepancies in a comprehensive fashion to better inform iNEMI and identify possible areas for improvement

Utilizing AI in Temporal, Spatial, and Resource Scheduling

Aurora is a software system enabling the rapid, easy solution of complex scheduling problems involving spatial and temporal constraints among operations and scarce resources (such as equipment, workspace, and human experts). Although developed for use in the International Space Station Processing Facility, Aurora is flexible enough that it can be easily customized for application to other scheduling domains and adapted as the requirements change or become more precisely known over time. Aurora s scheduling module utilizes artificial-intelligence (AI) techniques to make scheduling decisions on the basis of domain knowledge, including knowledge of constraints and their relative importance, interdependencies among operations, and possibly frequent changes in governing schedule requirements. Unlike many other scheduling software systems, Aurora focuses on resource requirements and temporal scheduling in combination. For example, Aurora can accommodate a domain requirement to schedule two subsequent operations to locations adjacent to a shared resource. The graphical interface allows the user to quickly visualize the schedule and perform changes reflecting additional knowledge or alterations in the situation. For example, the user might drag the activity corresponding to the start of operations to reflect a late delivery

Image analysis of characteristics of fluctuations of thermal mannequin's surface temperature distributions using time series infrared images

The final goal of this study was to propose a visualization method of heat transfer distributions over the human body in the indoor environment under cross ventilation conditions. Distributions of thermal mannequin's surface temperature fluctuations were visualized by image processing on infrared animations recorded at 30Hz sampling rate, and their characteristics were analyzed, as the first step of this study. At first, the influence of air velocity fluctuations on surface temperature fluctuations of thermal mannequin was visualized in the experimental room under cross ventilated cases and under air conditioned cases. An image processing method to transfer the infrared animations to power spectrum images was proposed in order to clarify the frequency of surface temperature fluctuations. And the distributions of sensible heat on thermal mannequin's surfaces were also visualized by classifying the pixels of power spectrum images by the cluster analysis and calculating the correction coefficient that was defined on each cluster for multiplying to roughly estimated value of sensible heat using the mean heat transfer coefficient

貧困の政治経済学

早大学位記番号:新8445早稲田大

Randomly Charged Polymers, Random Walks, and Their Extremal Properties

Motivated by an investigation of ground state properties of randomly charged polymers, we discuss the size distribution of the largest Q-segments (segments with total charge Q) in such N-mers. Upon mapping the charge sequence to one--dimensional random walks (RWs), this corresponds to finding the probability for the largest segment with total displacement Q in an N-step RW to have length L. Using analytical, exact enumeration, and Monte Carlo methods, we reveal the complex structure of the probability distribution in the large N limit. In particular, the size of the longest neutral segment has a distribution with a square-root singularity at l=L/N=1, an essential singularity at l=0, and a discontinuous derivative at l=1/2. The behavior near l=1 is related to a another interesting RW problem which we call the "staircase problem". We also discuss the generalized problem for d-dimensional RWs.Comment: 33 pages, 19 Postscript figures, RevTe

Theory and Applications of X-ray Standing Waves in Real Crystals

Theoretical aspects of x-ray standing wave method for investigation of the real structure of crystals are considered in this review paper. Starting from the general approach of the secondary radiation yield from deformed crystals this theory is applied to different concreat cases. Various models of deformed crystals like: bicrystal model, multilayer model, crystals with extended deformation field are considered in detailes. Peculiarities of x-ray standing wave behavior in different scattering geometries (Bragg, Laue) are analysed in detailes. New possibilities to solve the phase problem with x-ray standing wave method are discussed in the review. General theoretical approaches are illustrated with a big number of experimental results.Comment: 101 pages, 43 figures, 3 table

Legionella pneumophila in Rainwater on Roads

During rain, transient puddles form on roads, and this water is splashed into the air by moving vehicles. To determine whether this water contains Legionella pneumophila, we collected samples from roads. We found that L. pneumophila are abundant in these puddles, especially during warm weather