768 research outputs found
Studies on growth and efficiency of food utilization in rats
Get PDF#1. Inbreeding with selection for high
Efficiency Quotient has been practised on four families
of rats. Together with their controls, a total of
one hundred eleven rats have been individually fed
for a period of eight weeks.
#2. A close relation has been found to exists
between E.Q. and rate of gain. The influence of
initial weight and food consumption has been much
smaller. Similar results have been obtained from
both sexes, and the indications are that rate of
gain is an effective criterion by which to judge
efficiency.
#3. A clear sex difference in the level of
food utilization has been observed. The lower efficiency
of the females may be attributed to the ener
value of their tissues, the inhibiting effect of
ovary on growth, and also possibly to their greater
spontaneous activity
Statistical Research on Covariate Matching, Monotone Functional Data and Binary Spatio-temporal Data Modeling
Get PDFThis dissertation consists of three studies in different fields. (1) The first study aims to
evaluate the effect of wind turbine upgrades by devising a covariate matching method. The proposed method performs straightforward comparison between treated and non-treated outputs by re-organizing data records as if they were designed by randomized experiment. Also, it considers multi-dependencies of dynamic atmosphere conditions by taking into account the priority order and interaction effect of factors. (2) The second study proposes the functional data model to estimate a collection of monotone curves observed on an irregular and sparse grid. By integrating functional principal component analysis, not only does the model describe the variation of curves by few important functions but also it jointly estimates numerous monotone curves having a mean trend as well as individual-specific features. Simulation study validates its superiority to other classical approaches. (3) The last study investigates spatio-temporal binary data with a goal of describing infectious disease spreading pattern. An autologistic regressive model is proposed to illustrate spatial dependence and predict the progression over space and time. The accuracy of model estimation is verified by simulation study. Additionally, a hidden Markov network model is established from a slightly different standpoint on given data
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The role of the program administrator in instructed English as a foreign language
Get PDFDiscusses issues concerning the role of a program administrator in designing instructional units and managing language schools in Taiwan for adult learners (age 18 and up) in the English-as-a-foreign-language (EFL) context. Offers useful EFL teaching strategies in speaking and writing and gives program administrators tips on organizing schools and designing good instructional units
Statistical Research on Covariate Matching, Monotone Functional Data and Binary Spatio-temporal Data Modeling
Get PDFThis dissertation consists of three studies in different fields. (1) The first study aims to
evaluate the effect of wind turbine upgrades by devising a covariate matching method. The proposed method performs straightforward comparison between treated and non-treated outputs by re-organizing data records as if they were designed by randomized experiment. Also, it considers multi-dependencies of dynamic atmosphere conditions by taking into account the priority order and interaction effect of factors. (2) The second study proposes the functional data model to estimate a collection of monotone curves observed on an irregular and sparse grid. By integrating functional principal component analysis, not only does the model describe the variation of curves by few important functions but also it jointly estimates numerous monotone curves having a mean trend as well as individual-specific features. Simulation study validates its superiority to other classical approaches. (3) The last study investigates spatio-temporal binary data with a goal of describing infectious disease spreading pattern. An autologistic regressive model is proposed to illustrate spatial dependence and predict the progression over space and time. The accuracy of model estimation is verified by simulation study. Additionally, a hidden Markov network model is established from a slightly different standpoint on given data
Circuit Breaker Module
Get PDFThe circuit breaker module for this design project is a proof of concept that demonstrates the functionality, feasibility, and attainability of a consumer grade power systems analysis device suitable for college laboratory use. The goal of this project was to create the final iteration of a module that has been developed and refined over the course of previous years. The Cal Poly Electrical Engineering Department intends to use this design to produce circuit breaker modules intended for fault analysis. With the current changes made to the previous modules, the current circuit breaker is lighter, safer, and more universally reproducible. The use of a generic plastic enclosure ensures that others outside of Cal Poly may find the means to build this module themselves. The redesign of the faceplate was done to prevent module users from touching exposed live wires when trying to reach the mechanical switch. Finally, more affordable, adequate component alternatives were found so that Cal Poly will be able to reproduce this design for years to come
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