Mitsubishi

About: Mitsubishi is a company organization based out in Tokyo, Japan. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 53115 authors who have published 54821 publications receiving 870150 citations. The organization is also known as: Mitsubishi Group of Companies & Mitsubishi Companies.

Production of alpha-olefin polymers

Abstract: Ziegler polymerization of .alpha.-olefins is disclosed which is characterized by a solid catalyst component. The solid catalyst component, Component (A), comprises Sub-component (i) which is a solid catalyst component for Ziegler catalysts comprising Ti, Mg and a halogen; Sub-component (ii) which is a silicon compound having a plurality of a bond represented by a formula: Si-OR1 R1 m X n Si(OR2)4-n-m wherein R1 indicates a hydrocarbyl group of 1 to 8 carbon atoms, Sub-component (iii) which is a vinylsilane compound, and Sub-component (iii) which is an organometal compound of a metal of Groups I to IV of the Periodic Table. No need of an outside electron donor may be required, and the polymer produced is improved in its content of a "tacky" polymer.

Effect of extreme data loss on long-range correlated and anticorrelated signals quantified by detrended fluctuation analysis.

Abstract: Detrended fluctuation analysis (DFA) is an improved method of classical fluctuation analysis for nonstationary signals where embedded polynomial trends mask the intrinsic correlation properties of the fluctuations. To better identify the intrinsic correlation properties of real-world signals where a large amount of data is missing or removed due to artifacts, we investigate how extreme data loss affects the scaling behavior of long-range power-law correlated and anticorrelated signals. We introduce a segmentation approach to generate surrogate signals by randomly removing data segments from stationary signals with different types of long-range correlations. The surrogate signals we generate are characterized by four parameters: (i) the DFA scaling exponent $\ensuremath{\alpha}$ of the original correlated signal $u(i)$, (ii) the percentage $p$ of the data removed from $u(i)$, (iii) the average length $\ensuremath{\mu}$ of the removed (or remaining) data segments, and (iv) the functional form $P(l)$ of the distribution of the length $l$ of the removed (or remaining) data segments. We find that the global scaling exponent of positively correlated signals remains practically unchanged even for extreme data loss of up to 90%. In contrast, the global scaling of anticorrelated signals changes to uncorrelated behavior even when a very small fraction of the data is lost. These observations are confirmed on two examples of real-world signals: human gait and commodity price fluctuations. We further systematically study the local scaling behavior of surrogate signals with missing data to reveal subtle deviations across scales. We find that for anticorrelated signals even 10% of data loss leads to significant monotonic deviations in the local scaling at large scales from the original anticorrelated to uncorrelated behavior. In contrast, positively correlated signals show no observable changes in the local scaling for up to 65% of data loss, while for larger percentage of data loss, the local scaling shows overestimated regions (with higher local exponent) at small scales, followed by underestimated regions (with lower local exponent) at large scales. Finally, we investigate how the scaling is affected by the average length, probability distribution, and percentage of the remaining data segments in comparison to the removed segments. We find that the average length ${\ensuremath{\mu}}_{r}$ of the remaining segments is the key parameter which determines the scales at which the local scaling exponent has a maximum deviation from its original value. Interestingly, the scales where the maximum deviation occurs follow a power-law relationship with ${\ensuremath{\mu}}_{r}$. Whereas the percentage of data loss determines the extent of the deviation. The results presented in this paper are useful to correctly interpret the scaling properties obtained from signals with extreme data loss.

Factors affecting party size and composition of chimpanzees (Pan troglodytes verus) Bossou, Guinea

Abstract: I studied the party sizes of western chimpanzees (Pan troglodytes verus)and factors assumed to affect them at Bossou, Republic of Guinea, West Africa. Party size is negatively correlated with feeding ratio, and larger parties tend to be formed in more dangerous situations (i.e. crossing roads with much traffic). When parties included estrous females, young (i.e., late juvenile and adolescent) males tended to forage with them, independently from their mothers. Lactating females with infants tended to spend more time alone, but the trend was not as apparent as it is in P. t. schweinfurthiat Gombe, Tanzania. These facts suggest that several factors, in addition to food availability, affect party formation, or fission-fusion, of chimpanzees. I also briefly discuss comparatively the pattern of party formation in P. paniscus.