Describing Ordinal Odds Ratios for Stratified r × c Tables

For an r × ctable with ordinal responses, odds ratios are commonly used to describe the relationship between the row and column variables. This article shows two types of ordinal odds ratios where local‐global odds ratios are used to compare several groups on a c‐category ordinal response and a global odds ratio is used to measure the global association between a pair of ordinal responses. When there is a stratification factor, we consider Mantel‐Haenszel (MH) type estimators of these odds ratios to summarize the association from several strata. Like the ordinary MH estimator of the common odds ratio for several 2 × 2 contingency tables, the estimators are used when the association is not expected to vary drastically among the strata. Also, the estimators are consistent under the ordinary asymptotic framework in which the number of strata is fixed and also under sparse asymptotics in which the number of strata grows with the sample size. Compared to the maximum likelihood estimators, simulations find that the MH type estimators perform better especially when each stratum has few observations. This article provides variances and covariances formulae for the local‐global odds ratios estimators and applies the bootstrap method to obtain a standard error for the global odds ratio estimator. At the end, we discuss possible ways of testing the homogeneity assumption.     

New technique in optical resolutions

The present paper illustrates the development of an advanced technique in optical resolution. Both of the amphetamine enantiomers can be obtained by a two-step distillation in nearly quantitative yield without any loss of the resolving agent. It is proved that the second-order interactions (H-bond) are sufficient for separation of enantiomers by distillation. © 1994 Wiley-Liss, Inc.     

Kinetic Monte Carlo simulation for the striation distribution of void defects in Czochralski silicon growth

Unique crystal-originated pit (COP) distribution, similar to a striation pattern, is well matched with the oxygen profile in experimental analysis. It shows the strong relationship between oxygen concentration and COP distribution. In this paper, we study the generation of void defects and the relationship between interstitial oxygen and vacancy using the kinetic lattice Monte Carlo (KLMC) method. The KLMC method has been applied extensively in various forms to the study of micro-defects in silicon wafers. It explained well the formation of void defects such as vacancy–oxygen complex and vacancy–vacancy complex. The formation of clusters is strongly affected by oxygen concentration, which showed the relationship between COP distribution and oxygen concentration. The unique COP distribution could be correctly explained with KLMC results, and this kind of meso-scale results has not yet been reported.     

Spatio-temporal tumour model for analysis and mechanism of action of intracellular drug accumulation

We have developed a one-dimensional tumour simulator to describe the biodistribution of chemotherapeutic drugs to a tumoral lesion and the tumour cell’s response to therapy. A three-compartment model is used for drug dynamics within the tumour. The first compartment represents the extracellular space in which cells move, the second corresponds to the intracellular fluid space (including cell membrane) which is in direct equilibrium with the extracellular space, and the third is a non-exchangeable compartment that represents sequestered drug which is trapped in the nucleus to damage the cellular DNA, directly triggering cell death. Analytical and numerical techniques (Finite Element Method) are used to describe the tumour’s response to therapy and the effect of parameter variation on the drug concentration profiles in the three compartments.     

The Influences of Environment, Mating Habitat, and Predation on Evolution of Pinniped Lactation Strategies

Seals have adapted their social systems and lactation strategies to marine environments that include open and ice-covered oceans, high and low productivity, extremes in seasonality, and ocean- and terrestrial-type predators. Different explanations for the variation in pinniped lactation systems have been proposed but tests of alternative hypotheses have not sufficiently accounted for phylogeny and body size. After controlling for this variation, I predicted that environment, mating habitat, and predation would yield a fuller explanation. Lactation traits, duration, pup growth rate, and fat content were significantly influenced by both body size and phylogeny, which together explained 20–69% of the variation. After controlling for this variation, initial results did not support the environment hypothesis, as no differences in lactation traits were found between species living in polar (≥60°N) versus equatorial (<60°N) environments. In contrast, seals that nurse in areas of Arctic sea ice contending with ice-hunting predators, such as polar bears, had relatively short lactation compared to species living in the Antarctic and more equatorial regions. Also, the availability of predator-free islands for terrestrial mating and parturition was related to a harem mating system, increased sexual size dimorphism (SSD), and slow juvenile growth rates, less fat in milk, and longer lactation. Using structural equation modeling, latitude and size of harems provided independent explanations for all three lactation traits. Thus, use of islands in ice-free waters, predation in Arctic ice-covered waters, and more milk fat in high-latitude seals together provided adequate explanations for the evolution of lactation diversity among pinnipeds.     

Thermal biology of African lovebirds and Australian grass parakeets

We compared aspects of the thermal biology of two groups of small parrots, of similar body mass, each derived from a range of habitat types, varying in aridity, but indigenous to either southern Africa or Australia. By accounting for phylogenetic differences, we were able to question whether arid zone species have lower metabolic rates and greater thermal tolerances than mesic species in relation to the “pre-adapted” and “post-arrival adaptation” hypotheses. Four species of African lovebird (Agapornis) and four species of Australian grass parakeet (one Neopsephotus and three Neophema species) were investigated. The Rosy-faced Lovebird (Agapornis roseicollis), Bourke's Parakeet (Neopsephotus bourkii) and the Scarlet-chested Parakeet (Neophema splendida) were categorised as arid zone species, Fischer's Lovebird (Agapornis fischeri), the Black-masked Lovebird (Agapornis personatus) and the Elegant Parakeet (Neophema elegans) as semi-arid zone species, and the Black-cheeked Lovebird (Agapornis nigrigenis) and the Turquoise Parakeet (Neophema pulchella) as mesic zone species. Conventional and phylogenetically independent statistical methods yielded no significant differences in the basal metabolic rates of birds from different habitats or between the species assemblages from Africa and Australia.     

Design and effectiveness of a novel trap for capturing nesting songbirds

ABSTRACT Capturing songbirds at their nests can be challenging and time consuming. Although traps designed for capturing songbirds at their nests have been described in the literature, few are effective for capturing species with open‐cup nests. We describe a cylindrical trap designed to capture songbirds at nests up to 2 m above ground in grasses, forbs, shrubs, and small saplings. The nest trap is constructed using a rigid hoop, two pieces of mist net, three stakes, and twist ties. We used this trap to capture female Dickcissels (Spiza americana) and female Indigo Buntings (Passerina cyanea) at their nests, with success rates of 85% (N= 196) and 60–73% (N= 16), respectively. Trapping success was comparable to that using other passerine nest trap designs. Nest abandonment after trapping attempts was rare and similar to that reported in previous studies. Our nest trap is lightweight, easy to make, versatile enough to use in a variety of grassland and shrub habitats, and easily carried and deployed in the field.     

Comparative analysis of the methods used for finding surface energy to investigate protein interaction behavior on chromatographic supports

Hydrophobic interaction chromatography, an important and effective purification strategy, is generally used for the purification of variety of biomolecules. A basic understanding of the protein interaction behavior is required to effectively separate these biomolecules. A colloidal type extended Derjaguin, Landau, Verwey, and Overbeek calculations were utilized to study the interactions behavior of model proteins to commercially available hydrophobic chromatographic materials that is, Toyopearl Phenyl 650C and Toyopearl Butyl 650C. Physicochemical properties of selected model proteins were achieved by contact angle and zeta potential measurements. The contact angle of chromatographic materials used was achieved through sessile drop method on disrupted beads and capillary penetration method (CPM) on intact beads. The surface properties were further used to calculate the interactions of the proteins to chromatographic supports. The calculated secondary energy minimum of the proteins with the chromatographic materials (from the contact angle values determined through both methods can be correlated with the retention volumes from the real chromatography. The secondary energy minimum values are higher for each protein to the chromatographic materials calculated from the inputs derived through sessile drop method compared to CPM. For instance, immunoglobulin G has secondary energy minimum value of 0.17 kT compared to 0.11 kT, obtained through sessile drop method and CPM, respectively. Average relative values of the energy minimum calculated for all proteins are as 1.51 kT and 1.29 kT for Toyopearl Butyl 650C and Toyopearl Phenyl 650C, respectively, as a conversion factor for estimation of secondary energy minimum for both methods.     

Circadian rhythms in biologically closed electrical circuits of plants

The circadian clock regulates a wide range of electrophysiological and developmental processes in plants. Here, we discuss the direct influence of a circadian clock on biologically closed electrochemical circuits in vivo. The biologically closed electrochemical circuits in the leaves of C. miniata (Kaffir lily), Aloe vera and Mimosa pudica, which regulate their physiology, were analyzed using the charge stimulation method. Plants are able to memorize daytime and nighttime. Even at continuous light or darkness, plants recognize nighttime or daytime and change the input resistance. The circadian clock can be maintained endogenously and has electrochemical oscillators, which can activate ion channels in biologically closed electrochemical circuits. The activation of voltage gated channels depends on the applied voltage, electrical charge, and the speed of transmission of electrical energy from the electrostimulator to plants.