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Intriguing Indium-salen Complexes as Multicolor Luminophores
Lee, Seon Hee,Shin, Nara,Kwak, Sang Woo,Hyun, Kyunglim,Woo, Won Hee,Lee, Ji Hye,Hwang, Hyonseok,Kim, Min,Lee, Junseong,Kim, Youngjo,Lee, Kang Mun,Park, Myung Hwan American Chemical Society 2017 Inorganic Chemistry Vol.56 No.5
<P>The series of novel salen-based indium complexes (3-Bu-t-S-R-salen)In-Me (3-Bu-t-S-R-salen = N,N'-bis(2-oxy-3-tert-butyl-S-R-salicylidene)-1,2-diarninoethane, R = H (1), Bu-t (2), Br (3), Ph (4), OMe (5), NMe2 (6)) and [(3-Bu-t-5-NMe3-salen)In-Me] (OTO)(2) (7; OTf = CF3SO3-) have been synthesized and fully characterized by NMR spectroscopy and elemental analysis. All indium complexes 1-7 are highly stable in air and even aqueous solutions. The solid-state structures for 3-5, which were confirmed by single-crystal X-ray analysis, exhibit square-pyramidal geometries around the indium center. Both the UV/vis absorption and PL spectra of 1-7 exhibit significant intramolecular charge transfer (ICT) transitions based on the salen moieties with systematically bathochromic shifts, which depend on the introduction of various kinds of substituents. Consequently, the emission spectra of these complexes cover almost the entire-visible region lambda(em)= 455-622 run).</P>
Hierarchical Likelihood and Statistical Inferences
Youngjo Lee,Il Do Ha 계명대학교 자연과학연구소 2013 Quantitative Bio-Science Vol.32 No.2
In this paper we review the two existing ways, Bayesian and Fisher approaches, for statistical inferences. Then we discuss the hierarchical likelihood (h-likelihood; Lee and Nelder, 1996) framework, including its necessity and advantages. The usefulness of h-likelihood is illustrated via an example for prediction problem and analyses of two wellknown real data sets.
Sparse Canonical Covariance Analysis for High-throughput Data
Lee, Woojoo,Lee, Donghwan,Lee, Youngjo,Pawitan, Yudi Walter de Gruyter GmbH 2011 Statistical applications in genetics and molecular Vol.10 No.1
<P>Canonical covariance analysis (CCA) has gained popularity as a method for the analysis of two sets of high-dimensional genomic data. However, it is often difficult to interpret the results because canonical vectors are linear combinations of all variables, and the coefficients are typically nonzero. Several sparse CCA methods have recently been proposed for reducing the number of nonzero coefficients, but these existing methods are not satisfactory because they still give too many nonzero coefficients. In this paper, we propose a new random-effect model approach for sparse CCA; the proposed algorithm can adapt arbitrary penalty functions to CCA without much computational demands. Through simulation studies, we compare various penalty functions in terms of the performance of correct model identification. We also develop an extension of sparse CCA to address more than two sets of variables on the same set of observations. We illustrate the method with an analysis of the NCI cancer dataset.</P>
New group 4 half sandwich complexes containing triethanolamine ligand for polyethylene
Lee, Ki-Soo,Kim, Youngjo,Ihm, Son-Ki,Do, Youngkyu,Lee, Sunwoo Elsevier Sequoia 2006 Journal of organometallic chemistry Vol.691 No.6
<P><B>Graphical abstract</B></P><P>The half-sandwich group 4 complexes have been synthesized and utilized as catalysts for polyethylene. These catalysts at various solution polymerization temperatures and [Al]/[M] molar ratio in toluene and their catalytic capabilility were investigated.</P><ce:figure></ce:figure> <P><B>Abstract</B></P><P>(η<SUP>5</SUP>-C<SUB>5</SUB>Me<SUB>5</SUB>)M(TEA) (M=Ti, <B>1</B>; Zr, <B>2</B>; Hf, <B>3</B>; TEA=triethanolateamine) was prepared by the reaction of (η<SUP>5</SUP>-C<SUB>5</SUB>Me<SUB>5</SUB>)MCl<SUB>3</SUB> with triethanolamine in the presence of NEt<SUB>3</SUB>. The polyethylene catalytic efficiency in terms of activity decreases in the order <B>1</B>/MAO><B>2</B>/MAO≫<B>3</B>/MAO. In addition, the molecular weight (<I>M</I><SUB>v</SUB>) and melting temperature (<I>T</I><SUB>m</SUB>) of all the resulting polyethylene obtained by <B>2</B>/MAO show the range of <I>M</I><SUB>v</SUB>=91,200–356,200 and <I>T</I><SUB>m</SUB>=137.0–141.9°C, respectively; however, <B>1</B>/MAO and <B>3</B>/MAO gave polyethylenes with lower molecular weight (<I>M</I><SUB>v</SUB>=6800–78,700) and lower melting temperature (<I>T</I><SUB>m</SUB>=125.9–136.7°C). Furthermore, <B>1</B>/MAO showed significant decrease in the catalytic activity with increasing polymerization temperature though <B>2</B>/MAO and <B>3</B>/MAO have no dependence on the polymerization temperature.</P>
Lee, Seung-Yup,Lee, Donghwan,Nam, Cho Rong,Kim, Da Yea,Park, Sera,Kwon, Jun-Gun,Kweon, Yong-Sil,Lee, Youngjo,Kim, Dai Jin,Choi, Jung-Seok AKADEMIRI KIRDO 2018 JOURNAL OF BEHAVIOURAL ADDICTIONS Vol.7 No.2
<P><B>Background and objectives</B></P><P>The ubiquitous Internet connections by smartphones weakened the traditional boundaries between computers and mobile phones. We sought to explore whether smartphone-related problems differ from those of computer use according to gender using latent class analysis (LCA).</P><P><B>Methods</B></P><P>After informed consents, 555 Korean middle-school students completed surveys on gaming, Internet use, and smartphone usage patterns. They also completed various psychosocial instruments. LCA was performed for the whole group and by gender. In addition to ANOVA and χ<SUP>2</SUP> tests, post-hoc tests were conducted to examine differences among the LCA subgroups.</P><P><B>Results</B></P><P>In the whole group (<I>n</I> = 555), four subtypes were identified: dual-problem users (49.5%), problematic Internet users (7.7%), problematic smartphone users (32.1%), and “healthy” users (10.6%). Dual-problem users scored highest for addictive behaviors and other psychopathologies. The gender-stratified LCA revealed three subtypes for each gender. With dual-problem and healthy subgroup as common, problematic Internet subgroup was classified in the males, whereas problematic smartphone subgroup was classified in the females in the gender-stratified LCA. Thus, distinct patterns were observed according to gender with higher proportion of dual-problem present in males. While gaming was associated with problematic Internet use in males, aggression and impulsivity demonstrated associations with problematic smartphone use in females.</P><P><B>Conclusions</B></P><P>An increase in the number of digital media-related problems was associated with worse outcomes in various psychosocial scales. Gaming may play a crucial role in males solely displaying Internet-related problems. The heightened impulsivity and aggression seen in our female problematic smartphone users requires further research.</P>
Sparse pathway-based prediction models for high-throughput molecular data
Lee, Sangin,Lee, Youngjo,Pawitan, Yudi Elsevier 2018 Computational statistics & data analysis Vol.126 No.-
<P><B>Abstract</B></P> <P>Pathway-based prediction problems for high-throughput molecular data motivate the development of sparsity-constrained models with structured predictive variables. Intuitively it is desirable to incorporate the structural information into the model building procedure, potentially for improving both interpretability and prediction performances. Various random-effect models are developed for structured sparse prediction where the predictive variables/genes can be naturally grouped into overlapping groups or pathways. The hierarchical likelihood approach can be used for these random-effect models that impose sparse selection of the overlapping groups as well as further selection within the selected groups. In addition, the approach leads to a unified optimization algorithm for these random-effect models. Extensive numerical studies based on simulated and real breast-cancer data demonstrate that the proposed methods perform well against existing methods that ignore the structural information.</P>
A Short Note on Superefficiency
Lee, Youngjo,Park, Byeong U. The Korean Statistical Society 1991 Journal of the Korean Statistical Society Vol.20 No.2
In Le Cam's earlier work on superefficiency, it is proved that if an estimate is superefficient at a given paramter value $\theta$$\_$0/, then there must exist an infinite sequence {$\theta$$\_$n/}) of values(conversing to $\theta$$\_$0/) at which this estimate is worse than M. L. E. for certain classes of loss functions. For one-dimensional cases, these classes of lass functions include squared error loss. However. for multi-dimensional cases, they do not. This note is to give an example where a superefficiest estimator of a multi-dimensional parameter is not inferior to M. L. E. along any sequence ($\theta$$\_$n/) converging to the point of superefficiency with respect to the squared error loss.