Introducing DDEC6 atomic population analysis: part 1. Charge partitioning theory and methodology

We introduce a new atomic population analysis method that performs exceptionally well across an extremely broad range of periodic and non-periodic material types.

Download Full-text

Stockholders Charge Partitioning Technique. A Reliable Electron Population Analysis Scheme to Predict Intramolecular Reactivity Sequence

The Journal of Physical Chemistry A ◽

10.1021/jp035848z ◽

2003 ◽

Vol 107 (48) ◽

pp. 10428-10434 ◽

Cited By ~ 27

Author(s):

Ram Kinkar Roy

Keyword(s):

Population Analysis ◽

Electron Population ◽

Analysis Scheme ◽

Charge Partitioning ◽

Partitioning Technique

Download Full-text

Penyerapan Tenaga Kerja pada Sentra Industri Rajutan Binong Jati Kota Bandung

TRIKONOMIKA ◽

10.23969/trikonomika.v14i1.588 ◽

2015 ◽

Vol 14 (1) ◽

pp. 25 ◽

Cited By ~ 3

Author(s):

Fina Marliana Darusman ◽

Endang Rostiana

Keyword(s):

Regression Analysis ◽

Field Observation ◽

Wage Rate ◽

Population Analysis ◽

Industrial Sector ◽

Raw Material ◽

Primary Data ◽

Research Use ◽

Business Unit ◽

Analysis Method

In order to develop industrial sector, Kota Bandung develop ten industrial and trades areas. One of the industrial and trades area is Binong Jati Knitting Industrial and Trade Centre, which is potentially in absorbing the employment. The objectives of the study are to identify the condition of Binong Jati Knitting Industrial and Trade Centre today and to analyze relationship between labor absorption and several economic variables in Binong Jati Knitting Industrial and Trade Centre. This research use primary data which collected from 55 business unit as a sample from 120 population. Analysis method is descriptive statistic and linier regression. According to our field observation and interview, most of the unit business in Binong Jati Knitting Industrial and Trade Centre is small and middle scale industries. In term of number of employment, Binong Jati Knitting Industrial and Trade Centre is in the second rank after Cibaduyut Shoes Industrial Centre. In recent years, units business and number of workers has decreased. According to regression analysis, in Binong Jati Knitting Industrial and Trade Centre, size of employment is negativelly related with wage rate, positively related with price of raw material, number of sales, labor productivity, and number of machine units.

Download Full-text

Preferential chlorination vertices in cobaltabisdicarbollide anions. Substitution rate correlation with site charges computed by the two atoms natural population analysis method (2a-NPA)

Journal of Organometallic Chemistry ◽

10.1016/j.jorganchem.2013.03.039 ◽

2013 ◽

Vol 747 ◽

pp. 119-125 ◽

Cited By ~ 6

Author(s):

Pau Farràs ◽

Clara Viñas ◽

Francesc Teixidor

Keyword(s):

Natural Population ◽

Substitution Rate ◽

Population Analysis ◽

Analysis Method ◽

Natural Population Analysis ◽

Rate Correlation

Download Full-text

A model population analysis method for variable selection based on mutual information

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2012.12.004 ◽

2013 ◽

Vol 121 ◽

pp. 75-81 ◽

Cited By ~ 11

Author(s):

Xu-Xia Long ◽

Hong-Dong Li ◽

Wei Fan ◽

Qing-Song Xu ◽

Yi-Zeng Liang

Keyword(s):

Mutual Information ◽

Variable Selection ◽

Population Analysis ◽

Analysis Method ◽

Model Population

Download Full-text

Automated 3-D cell population analysis in thick tissue sections using laser-scanning confocal-microscopy data

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100148642 ◽

1993 ◽

Vol 51 ◽

pp. 562-563

Author(s):

Hakan Ancin

Keyword(s):

Laser Scanning ◽

Population Analysis ◽

Three Dimensional ◽

Large Data ◽

Laser Scanning Confocal Microscopy ◽

Tissue Slices ◽

Scanning Confocal Microscopy ◽

Tissue Sections ◽

Spatially Adaptive ◽

Microscopy Data

This paper presents methods for performing detailed quantitative automated three dimensional (3-D) analysis of cell populations in thick tissue sections while preserving the relative 3-D locations of cells. Specifically, the method disambiguates overlapping clusters of cells, and accurately measures the volume, 3-D location, and shape parameters for each cell. Finally, the entire population of cells is analyzed to detect patterns and groupings with respect to various combinations of cell properties. All of the above is accomplished with zero subjective bias.In this method, a laser-scanning confocal light microscope (LSCM) is used to collect optical sections through the entire thickness (100 - 500μm) of fluorescently-labelled tissue slices. The acquired stack of optical slices is first subjected to axial deblurring using the expectation maximization (EM) algorithm. The resulting isotropic 3-D image is segmented using a spatially-adaptive Poisson based image segmentation algorithm with region-dependent smoothing parameters. Extracting the voxels that were labelled as "foreground" into an active voxel data structure results in a large data reduction.

Download Full-text