A Diffusion-Based Approach to Geminate Recombination of Heme Proteins with Small Ligands

A model of postphotodissociative monomolecular (geminate) recombination of heme proteins with small ligands (NO, O2 or CO) is represented. The non-exponential decay with time for the probability to find a heme in unbound state is interpreted in terms of diffusion-like migration of ligabs physics/0212040 and between protein cavities. The temporal behavior for the probability is obtained from numerical simulation and specified by two parameters: the time \tau_{reb} of heme-ligand rebinding for the ligand localized inside the heme pocket and the time \tau_{esc} of ligand escape from the pocket. The model is applied in the analysis of available experimental data for geminate reoxygenation of human hemoglobin HbA. Our simulation is in good agreement with the measurements. The analysis shows that the variation in pH of the solution (6.0<pH<9.4) results in considerable changes for \tau_{reb} from 0.36 ns (at pH=8.5) up to 0.5 ns (pH=6.0) but effects slightly on the time \tau_{esc} (\tau_{esc} ~ 0.88 ns).Comment: 8 pages with 4 figures, submitted to Chem. Phy

Extracellular Matrix Aggregates from Differentiating Embryoid Bodies as a Scaffold to Support ESC Proliferation and Differentiation

Embryonic stem cells (ESCs) have emerged as potential cell sources for tissue engineering and regeneration owing to its virtually unlimited replicative capacity and the potential to differentiate into a variety of cell types. Current differentiation strategies primarily involve various growth factor/inducer/repressor concoctions with less emphasis on the substrate. Developing biomaterials to promote stem cell proliferation and differentiation could aid in the realization of this goal. Extracellular matrix (ECM) components are important physiological regulators, and can provide cues to direct ESC expansion and differentiation. ECM undergoes constant remodeling with surrounding cells to accommodate specific developmental event. In this study, using ESC derived aggregates called embryoid bodies (EB) as a model, we characterized the biological nature of ECM in EB after exposure to different treatments: spontaneously differentiated and retinoic acid treated (denoted as SPT and RA, respectively). Next, we extracted this treatment-specific ECM by detergent decellularization methods (Triton X-100, DOC and SDS are compared). The resulting EB ECM scaffolds were seeded with undifferentiated ESCs using a novel cell seeding strategy, and the behavior of ESCs was studied. Our results showed that the optimized protocol efficiently removes cells while retaining crucial ECM and biochemical components. Decellularized ECM from SPT EB gave rise to a more favorable microenvironment for promoting ESC attachment, proliferation, and early differentiation, compared to native EB and decellularized ECM from RA EB. These findings suggest that various treatment conditions allow the formulation of unique ESC-ECM derived scaffolds to enhance ESC bioactivities, including proliferation and differentiation for tissue regeneration applications. © 2013 Goh et al

Cultural proximity and trade

Cultural proximity increases bilateral trade flows through a trade-cost and a bilateral-affinity (preferences) channel. Conventional measures of cultural proximity, such as common language, common religion, etc., do not allow to separately quantify those channels empirically. We argue that quality-adjusted Eurovision Song Contest (ESC) scores can be used as dyadic, time-variant information on European countries' cultural proximity. Assuming that the tradecost related component of cultural proximity is time-invariant, in a gravity model of bilateral trade, the time dimension of the ESC data allows to identify the preferences effect. The validity of our identification strategy can be tested by exploiting the lack of systematic reciprocity in ESC scores. While we find robust evidence for a sizable preferences effect, the impact of cultural proximity on trade runs largely through the cost effect. --international trade,gravity equation,cultural prox imity,identification

On the Low Energy Decrease in Galactic Cosmic Ray Secondary/Primary Ratios

Galactic cosmic ray (GCR) secondary/primary ratios such as B/C and (Sc+Ti+V)/Fe are commonly used to determine the mean amount of interstellar material through which cosmic rays travel before escaping from the Galaxy (Λ_(esc)). These ratios are observed to be energy-dependent, with a relative maximum at ~1 GeV/nucleon, implying a corresponding peak in Λ_(esc). The decrease in Λ_(esc) at energies above 1 GeV/nucleon is commonly taken to indicate that higher energy cosmic rays escape more easily from the Galaxy. The decrease in Λ_(esc) at energies <1 GeV/nuc is more controversial; suggested possibilities include the effects of a galactic wind or the effects of distributed acceleration of cosmic rays as they pass through the interstellar medium. We consider two possible explanations for the low energy decrease in Λ_(esc) and attempt to fit the combined, high-resolution measurements of secondary/primary ratios from ~0.1 to 35 GeV/nuc made with the CRIS instrument on ACE and the C2 experiment on HEAO-3. The first possibility, which hypothesizes an additional, local component of low-energy cosmic rays that has passed through very little material, is found to have difficulty simultaneously accounting for the abundance of both B and the Fe-secondaries. The second possibility, suggested by Soutoul and Ptuskin, involves a new form for Λ_(esc) motivated by their diffusion-convection model of cosmic rays in the Galaxy. Their suggested form for Λ_(esc)(E) is found to provide an excellent fit to the combined ACE and HEAO data sets

Profiling the Environmental Sustainability-Conscious (ESC) Consumer: Proposing the S-P-P Model

This paper sought to explore the nature of the various measures used for profiling the environmental sustainability conscious (ESC) consumer segment; and to posit a measure that will be most appropriate for profiling this segment. Design/methodology/approach: Using the 5S model for assessing market segmentation approaches, the study critiqued the common measures, which are singly adopted for profiling the ESC segment. Findings: Contradictory views exist among scholars as to which approach is best for profiling the ESC consumer; the results on the common correlates used by scholars under each approach are also contradictory. Few consistent results exist for each correlate under each approach. Accordingly, to mitigate this shortcoming, this paper posits the S-P-P Model, which is an integrated for profiling the ESC consumer segment. Research limitations/implication: This review is not exhaustive in that it did not review methodological issues that underpin profiling approaches. Originality/value: The S-P-P model, which this paper posits, offers a comprehensive and robust approach for an individual intending to profile the ESC segmen