344,162 research outputs found
Kim Knuckey
No full text"[SX 25521] Kim Knuckey Don/R - Sigs Alice Springs 1941/42".[SX 25521] Kim Knuckey. Despatch Rider - Signals, Alice Springs, 1941/42
CVTresh: R Package for Level-Dependent Cross-Validation Thresholding
No full textThe core of the wavelet approach to nonparametric regression is thresholding of wavelet coefficients. This paper reviews a cross-validation method for the selection of the thresholding value in wavelet shrinkage of Oh, Kim, and Lee (2006), and introduces the R package CVThresh implementing details of the calculations for the procedures. This procedure is implemented by coupling a conventional cross-validation with a fast imputation method, so that it overcomes a limitation of data length, a power of 2. It can be easily applied to the classical leave-one-out cross-validation and K-fold cross-validation. Since the procedure is computationally fast, a level-dependent cross-validation can be developed for wavelet shrinkage of data with various sparseness according to levels.
kim: Behavioral Scientists' Analysis Toolkit (an R package)
No full textThis R package contains various functions that simplify and expedite analyses of experimental data.
Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts robust two-way analysis of variance.
To use this package, please follow the steps below.
1. In R, install the package from CRAN by typing:
install.packages("kim")
2. After the package is installed, attach the package in R by typing:
library(kim)
3. After the package is attached, update the package to the newest version from the package's Github page by typing:
update_kim(
kim: Functions for Behavioral Science Researchers (an R package)
No full textThis R package contains various functions that simplify and expedite analyses of experimental data.
Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts robust two-way analysis of variance.
To use this package, please follow the steps below.
1. In R, install the package from CRAN by typing:
install.packages("kim")
2. After the package is installed, attach the package in R by typing:
library(kim)
3. After the package is attached, update the package to the newest version from the package's Github page by typing:
update_kim(
Khoo Kay Kim, professor of Malaysian history : a biobibliometric study
No full textPresents an analysis of the publication productivity, authorship pattern, channels of communication, journal preference and language preference of Professor Dato' Khoo Kay Kim, Professor of Malaysian History in the University of Malaya, Kuala Lumpur. The results of this biobibliometric study indicate that he can be a role model for future Malaysian historians to emulate his various achievements especially in the field of history education
Introduction to Dr. Billy Kim
No full textR. Albert Mohler Jr. introduces Dr. Billy Kim, president of the Baptist World Alliance, featured chapel speaker, Alumni Memorial Chapel, March 13, 2001. [Kim's chapel address posted separately. Complete chapel service available in Archives on AV DAT 210.
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Authority and Emotions: Kim Jong Il and Religious Imagination in North Korean Literature
No full textThis dissertation explores how Kim Jong Il, the supreme leader of North Korea (Democratic People’s Republic of Korea; DPRK) from 1994 to 2011, established his legitimacy based on constructs of his late father, Kim Il Sung’s, divine authority at the turn of the twentieth century. Focusing on North Korean historical narratives—produced and circulated under Kim Jong Il’s supervision—this study sheds light on the relationships among the idea of divine authority, the functions and purposes of historical narrative, and the people’s emotions expressed in North Korea’s historical writing.
Previous studies often described this historical writing—or what my dissertation explores as the fictionalized biography of Kim Il Sung, the father, and Kim Jong Il, the son—as propaganda for the authoritarian regime while underestimating the religious quality of the propaganda (and more specifically its roots in Judeo-Christian biblical narrative). Scholars in North Korean studies have ignored the roles played by the North Korean people’s imaginations of immortality, encouraged by historical narratives, and their emotions, caused by religious visions, during the great famine and economic difficulties in the 1990s.
The North Korean state’s ideological constructions—such as Kimilsungism, Kimjongilism, and the Juche idea of self-reliance—display features commonly associated with religion. Particularly in the 1990s, Kim Jong Il stressed this political religion by urging the people to read and discuss state-sanctioned history. North Korea’s leader deployed state-constructed historical prose to consecrate his father as a messiah of the Korean race, justify his own oppressive rule as his dead father’s yuhun (will), and encourage the people’s imagination of yŏngsaeng (immortality) as a way to heal their pain and grief suffered as a result of famine. Thus, I argue that the religious imaginations of immortality in North Korean historical writing helped the son Kim Jong Il control people’s emotions. He sought to suppress negative feelings (e.g., fear of death) and augment positive emotions (e.g., happiness with everyday life) by operating a propaganda apparatus that produced and circulated hagiographic fictions of his father and himself.
This study also examines the ways in which the state constructs of religious imaginations of immortality and the afterlife in North Korea presented extended working hours; overwork; industrial accidents; and deaths at factories, farms, mines, and construction sites. Despite the massive scale of famine-related deaths and grievous economic hardship in the 1990s, the Kim Jong Il regime managed to guide the people to cope with these tragic environments by transforming labor into meditation. Meditation is a practice or technique designed for self-regulation of the mind. It is practiced not for material gain but for spiritual enlightenment that generates feelings of tranquility, patience, and forgiveness. I propose that labor (work) can be a meditative practice, if it is incorporated into a daily routine. In North Korea, working—along with participating in various meetings and government-required demonstrations—created a temporal scansion that was intended to calm the North Korean people’s negative emotional states, such as anxiety, fear, and depression. I define temporal scansion as a recurrent pattern in people’s everyday lives that made them impervious to the shock and pain of frequently-occurring industrial accidents. The rhythmic cycle is a sine qua non for meditation. During the great famine, North Korean literature and historical writing attempted to depict workers who were overcoming their fear of death, transcending the self, and constructing their life-death continuums by following a temporal scansion that the regime imposed on their everyday lives. North Korean propaganda alleged that North Koreans could make their political life eternal by sacrificing their biological lives for the nation. Deaths at worksites were elevated to martyrdom and deceased workers were celebrated as martyrs.
In this state-constructed vision and state-mandated program of reading the state-sanctioned history, North Korean people successfully deal with negative feelings, such as anxiety and fear, by keeping their daily routine, transform their whole lives into service to nation and their leaders with the temporal scansion in everyday life, and have immortality because their experiences in the factories, mines, farms, and constructions sites where they worked live on forever in history.East Asian Languages and Civilization
R&D Project Team Climate and Team Performance in Korea
No full textThis study examined the relationship between R&D team climate and team performance in a developing context, Korea. Given the fragmented results of existing studies in advanced countries, which explored largely the effects of individual dimensions of team climate on team performance, this study focused on the interaction effects among multiple dimensions of team climate. The interaction effects can produce seemingly contradictory or paradoxical bivariate associations between each climate dimension and team performance.
Both bivariate and multivariate analyses, using data from 80 R&D project teams in both government-sponsored research institutes and private R&D centres in Korea, revealed the following results.
1. Four dimensions of R&D team climate—autonomy, cohesiveness, change orientation, work pressure—were not positively associated with team performance. Rather, autonomy was found to have a significant negative relationship.
2. Interaction effects of each team climate dimension were partially borne out. When the change orientation or work pressure of a team was high, autonomy had a positive impact on team performance. Otherwise, autonomous team climate deteriorated performance of the team. However, interaction effects between cohesiveness and change orientation or work pressure were not found significant.
3. There appeared three clusters of R&D teams with similar climate characteristics. Teams with high autonomy but a low change orientation exhibited a lower level of performance than the other two clusters—one with low autonomy but high change orientation and work pressure, and the other with a medium level of autonomy and change orientation.
The results implied that a holistic team climate, as well as an individual aspect of climate, had a significant impact on team performance. A configuration approach considering interaction effects among various climate aspects would be beneficial for the development of high performing R&D teams
FHDI: An R Package for Fractional Hot Deck Imputation
No full textFractional hot deck imputation (FHDI), proposed by Kalton and Kish (1984) and investigated by Kim and Fuller (2004), is a tool for handling item nonresponse in survey sampling. In FHDI, each missing item is filled with multiple observed values yielding a single completed data set for subsequent analyses. An R package FHDI is developed to perform FHDI and also the fully efficient fractional imputation (FEFI) method of (Fuller and Kim, 2005) to impute multivariate missing data with arbitrary missing patterns. FHDI substitutes missing items with a few observed values jointly obtained from a set of donors whereas the FEFI uses all the possible donors. This paper introduces FHDI as a tool for implementing the multivariate version of fractional hot deck imputation discussed in Im et al. (2015) as well as FEFI. For variance estimation of FHDI and FEFI, the Jackknife method is implemented, and replicated weights are provided as a part of the output.This article is published as Im, J., Cho, I. H., & Kim, J. K. (2018). FHDI: An R package for fractional hot deck imputation. R Journal, 10(1), 140-154.
DOI: 10.32614/RJ-2018-020.
Copyright 2018 The R Foundation.
Attribution 4.0 International (CC BY 4.0).
Posted with permission
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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