Non-monotonic Relationships Research Articles

Frequency-dependent anisotropy in partially saturated porous rock with multiple sets of mesoscale fractures

SUMMARY Accurate modelling of the frequency-dependence of seismic wave velocity related to fracture system and fluid content is crucial to the quantitative interpretation of seismic data in fractured reservoirs. Both mesoscale fractures and patchy saturation effects can cause significant velocity dispersion and attenuation in the seismic frequency band due to wave-induced fluid flow (WIFF) mechanism. Considering the coupled impact of ‘mesoscale fractures’ and ‘patchy saturation’, we derive expressions for the frequency-dependent anisotropy in partially saturated porous rock containing two fracture sets with different orientations, sizes and connectivities. Especially, we simplify the rock-physics model as an orthorhombic (ORT) media by assuming the mesoscale fractures to be orthogonal and give the explicit expressions for frequency-dependent elastic constants. Finally, we give the expressions for the frequency-dependent phase velocity in patchy saturated and fractured ORT media and investigate the effect of patchy saturation on P-wave velocity at different polar and azimuth angles. In this paper, we investigate the effects of fluid saturation and fluid pressure on frequency-dependent velocities and Thomsen anisotropy parameters. Also, the effect of the relative permeability is very noticeable. The relaxation frequency can be lower in partially saturated fractured rocks compared with the fully saturated case, which makes the rock have a larger stiffness. The non-monotonic relationships between frequency-dependent anisotropy and fluid saturation add complexity to seismic forward modelling and inversion in reservoirs with complex fracture patterns.

Non-monotonic kilohertz frequency neural block thresholds arise from amplitude- and frequency-dependent charge imbalance

Reversible block of nerve conduction using kilohertz frequency electrical signals has substantial potential for treatment of disease. However, the ability to block nerve fibers selectively is limited by poor understanding of the relationship between waveform parameters and the nerve fibers that are blocked. Previous in vivo studies reported non-monotonic relationships between block signal frequency and block threshold, suggesting the potential for fiber-selective block. However, the mechanisms of non-monotonic block thresholds were unclear, and these findings were not replicated in a subsequent in vivo study. We used high-fidelity computational models and in vivo experiments in anesthetized rats to show that non-monotonic threshold-frequency relationships do occur, that they result from amplitude- and frequency-dependent charge imbalances that cause a shift between kilohertz frequency and direct current block regimes, and that these relationships can differ across fiber diameters such that smaller fibers can be blocked at lower thresholds than larger fibers. These results reconcile previous contradictory studies, clarify the mechanisms of interaction between kilohertz frequency and direct current block, and demonstrate the potential for selective block of small fiber diameters.

Arsenic, blood pressure, and hypertension in the Strong Heart Family Study

BackgroundArsenic has been associated with hypertension, though it is unclear whether associations persist at the exposure concentrations (e.g. <100 μg/L) in drinking water occurring in parts of the Western United States. MethodsWe assessed associations between arsenic biomarkers and systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension in the Strong Heart Family Study, a family-based cohort of American Indians from the Northern plains, Southern plains, and Southwest. We included 1910 participants from three study centers with complete baseline visit data (2001–2003) in the cross-sectional analysis of all three outcomes, and 1453 participants in the prospective analysis of incident hypertension (follow-up 2006–2009). We used generalized estimating equations with exchangeable correlation structure conditional on family membership to estimate the association of arsenic exposure biomarker levels with SBP or DBP (linear regressions) or hypertension prevalence and incidence (Poisson regressions), adjusting for urine creatinine, urine arsenobetaine, and measured confounders. ResultsWe observed cross-sectional associations for a two-fold increase in inorganic and methylated urine arsenic species of 0.64 (95% CI: 0.07, 1.35) mm Hg for SBP, 0.49 (95% CI: 0.03, 1.02) mm Hg for DBP, and a prevalence ratio of 1.10 (95% CI: 1.01, 1.21) for hypertension in fully adjusted models. During follow-up, 14% of subjects developed hypertension. We observed non-monotonic relationships between quartiles of arsenic and incident hypertension. Effect estimates were null for incident hypertension with continuous exposure metrics. Stratification by study site revealed elevated associations in Arizona, the site with the highest arsenic levels, while results for Oklahoma and North and South Dakota were largely null. Blood pressure changes with increasing arsenic concentrations were larger for those with diabetes at baseline. ConclusionsOur results suggest a modest cross-sectional association of arsenic exposure biomarkers with blood pressure, and possible non-linear effects on incident hypertension.

The role of mangrove, seagrass and coral reefs for coral reef fish communities

We examined the effect of mangrove, seagrass meadows, reef characteristics, and complexity of seascape heterogeneity on reef fish assemblages in Ternate, Natuna and Bintan-Indonesia. The analytical approach of seascape ecology was undertaken, using field survey data of reef fish community and maps of mangrove covers and habitat benthic. The fish data had been collected during reef health monitoring in 2015 through the Coral Reef Rehabilitation and Management Program-Coral Triangle Initiative. Map of benthic habitats and mangroves was provided by Indonesia’s data custodians in 2015-2016. Generalized Additive Models were performed to analyze non-linear and non-monotonic relationships. The results showed that mangroves and seagrasses were essential for reef fishes, and as expected, reef characteristics were also important. Accordingly, the conservations of coral reefs should consider mangrove and seagrass protection and vice versa. Therefore, this information could be considered for managers of marine protected areas (MPA) to better practice MPA management.

Prenatal exposure to mixtures of persistent environmental chemicals and fetal growth outcomes in Western Australia

Background: Environmental chemicals have been implicated in the etiology of impaired fetal growth; however, few studies have assessed the effects of chemical mixtures or considered the possibility of non-monotonic exposure–response relationships for chemicals that act through the endocrine system. Methods: We assessed exposure to polybrominated diphenyl ethers, organochlorine pesticides, metals, and perfluoroalkyl substances in blood and urine samples collected two weeks prior to delivery in 166 non-smoking pregnant women, and subsequent birth weight, length, and head circumference of neonates who were part of the Australian Maternal Exposures to Toxic Substances (AMETS) study. We used Bayesian structured additive regression models with spike–slab priors to estimate mixture effects, identify important exposures, and model non-linearity in exposure–response relationships. Results: An increase in cesium exposure measured in whole blood from the 10th to 90th percentile was associated with a reduction in both birth weight (-236.5 g, 90% credible interval: -458.1 to -6.5 g) and the proportion of optimal birth weight (-8.6%, 90% credible interval: -14.8 to -0.4%), after adjusting for potential confounders. We identified several other chemicals and mixtures that may be associated with fetal growth, some non-linearly; however, 90% credible intervals contained the null. Conclusions: Using a Bayesian penalised regression method that is robust to multicollinearity, we assessed the shapes of exposure–response relationships, controlled for confounding by co-exposure, and estimated the single and combined effects of a large mixture of correlated environmental chemicals on fetal growth. While exposure concentrations in the AMETS study were generally low, our findings suggest that cesium exposure is associated with a reduction in birth weight. The potential for non-monotonic relationships between environmental chemicals and fetal growth outcomes warrants further study.

Sex-specific oxidative damage effects induced by BPA and its analogs on primary hippocampal neurons attenuated by EGCG

BPA analogs, including bisphenol S (BPS) and bisphenol B (BPB), have been used to replace BPA since it was banned to be added. To investigate whether BPA and its analogs cause oxidative damage effects on primary hippocampal neurons of rats, reactive oxygen species (ROS), malondialdehyde (MDA), superoxide dismutase (SOD), mitochondrial membrane potential (MMP), apoptosis and cell viability assays were conducted after hippocampal neurons exposure to different concentrations of BPA, BPS, and BPB (1, 10, 100 nM and 1, 10, 100 μM). Moreover, the effects of EGCG (5 and 6 μM for male and female, respectively) added on neurons exposed to BPA were assessed. Results showed that 24 h exposure to these bisphenols (BPs) could increase the levels of ROS and contents of MDA, but reduce the activity of SOD significantly. A decline of cell viabilities accompanied with the increasing of apoptosis rates was observed after 7 d exposure to BPs and the reduction of MMP was also observed after 7 d exposure to BPA. Interestingly, BPS has the lower toxicity to hippocampal neurons compared with BPA and BPB. Non-monotonic dose-effect relationships between the concentrations of BPs and the cytotoxic effects were observed, and the effects of BPs on male hippocampal neurons are greater than those of female ones in general. While EGCG can protect neurons free of oxidative damages. In conclusion, the results suggest that BPs may induce sex-specific neurotoxic effects involving oxidative stress, which can be attenuated by EGCG, and males are more sensitive to BPs than females.

Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: A simulation study.

Statistical methods for identifying harmful chemicals in a correlated mixture often assume linearity in exposure-response relationships. Nonmonotonic relationships are increasingly recognized (eg, for endocrine-disrupting chemicals); however, the impact of nonmonotonicity on exposure selection has not been evaluated. In a simulation study, we assessed the performance of Bayesian kernel machine regression (BKMR), Bayesian additive regression trees (BART), Bayesian structured additive regression with spike-slab priors (BSTARSS), generalized additive models with double penalty (GAMDP) and thin plate shrinkage smoothers (GAMTS), multivariate adaptive regression splines (MARS), and lasso penalized regression. We simulated realistic exposure data based on pregnancy exposure to 17 phthalates and phenols in the US National Health and Nutrition Examination Survey using a multivariate copula. We simulated data sets of size N=250 and compared methods across 32 scenarios, varying by model size and sparsity, signal-to-noise ratio, correlation structure, and exposure-response relationship shapes. We compared methods in terms of their sensitivity, specificity, and estimation accuracy. In most scenarios, BKMR, BSTARSS, GAMDP, and GAMTS achieved moderate to high sensitivity (0.52-0.98) and specificity (0.21-0.99). BART and MARS achieved high specificity (≥0.90), but low sensitivity in low signal-to-noise ratio scenarios (0.20-0.51). Lasso was highly sensitive (0.71-0.99), except for quadratic relationships (≤0.27). Penalized regression methods that assume linearity, such as lasso, may not be suitable for studies of environmental chemicals hypothesized to have nonmonotonic relationships with outcomes. Instead, BKMR, BSTARSS, GAMDP, and GAMTS are attractive methods for flexibly estimating the shapes of exposure-response relationships and selecting among correlated exposures.

Associations of prenatal urinary phthalate exposure with preterm birth: the Maternal-Infant Research on Environmental Chemicals (MIREC) Study.

To examine the relation between prenatal urinary phthalate metabolite concentrations and preterm birth (PTB). The data were drawn from the Maternal-Infant Research on Environmental Chemicals (MIREC) Study, a pan-Canadian cohort of 1857 pregnant women enrolled between 2008 and 2011. We quantified urinary concentrations of 7 phthalate metabolites that were detected in > 70% of urine samples collected during the first trimester. Gestational age was obtained from either the last menstrual period or early ultrasound. We used Cox proportional hazard models to examine the associations of urinary phthalate metabolite concentrations, plus the molar sum of di-2-ethylhexyl phthalate metabolites (∑DEHP), with time to delivery before 37weeks of gestation. We also examined PTB by clinical presentation. PTBs presented with either spontaneous labour or premature rupture of the membrane were considered spontaneous PTB (sPTB). Additionally, we used multiple linear regression to model changes in mean gestational age in relation to phthalate exposure. We found no evidence of an association between first trimester phthalate metabolite concentrations and PTB among the MIREC study participants. For example, each 2-fold increase in any of the 7 phthalate concentrations or ∑DEHP was associated with hazard ratios (HRs) for PTB ranging from 0.95 to 1.07 with 95% confidence intervals including the null. An assessment of non-linear trends showed some evidence of non-monotonic dose-response relationships between phthalates and PTB. Furthermore, male infants exposed to MCPP showed higher sPTB risk compared with female infants. Phthalate exposure during early pregnancy is not clearly associated with the risk of PTB among this Canadian population.

Understanding the Loading Dependence of Adsorbate Diffusivities in Hierarchical Metal-Organic Frameworks.

Using atomistic simulations, we studied the diffusion of n-hexane in a series of isoreticular hierarchical metal-organic frameworks (MOFs) NU-100x. Nonmonotonic diffusivity-loading relationships that depend on the pore sizes were observed, which can be explained by the spatial distribution of adsorbates at different loadings. For one of the MOFs in the series, NU-1000-M, the diffusivity-loading relationship is almost identical to the previously reported results of n-hexane diffusion in the hierarchical self-pillared pentasil (SPP) zeolite. Detailed analysis revealed that the similarity results from their similar micropore and window sizes, which was confirmed by free-energy mapping. The effects of temperature and adsorbate chain length on the diffusion were also studied, which supported our conclusion that the diffusivity in hierarchical nanoporous materials is primarily controlled by the sizes of the micropores and the connecting windows, particularly at relatively low loadings.

Trimester-specific, gender-specific, and low-dose effects associated with non-monotonic relationships of bisphenol A on estrone, 17β-estradiol and estriol

BackgroundBisphenol A (BPA) may cause some adverse effects on human health by mimicking estrogen activities. In vitro andanimalstudies have observed the non-monotonic associations between BPA and natural estrogens, but the evidence in human study is lacking, particularly at multiple points in time during pregnancy. ObjectiveWe aimed to examine the relationships between BPA and estrogens in the three trimesters among Chinese pregnant women and their gender variations. MethodsThis study included 851 participants from a birth cohort conducted in Wuhan, China between 2014 and 2015. We measured concentrations of BPA and three estrogens (estrone (E1), 17β-estradiol (E2) and estriol (E3)) in urine samples collected in the three trimesters of pregnancy (mean for each visit: 13.0, 23.6, and 35.9 weeks’ gestation). We calculated the estimated daily intakes using urinary BPA concentrations and compared them with the tolerable intake value to assess potential health risks. We used multivariate linear regression models stratified by trimester and gender to explore trimester-specific and gender-specific associations of BPA with E1, E2, and E3. ResultsWe found the decreased levels of estrogens (β < 0, P < 0.05) in the upper BPA quartiles over three trimesters, except for the elevated levels of E3 (β = 0.20, 95% CI: 0.02, 0.38) in the highest BPA quartile in the 2nd trimester. There were significant non-linear associations (overall associations P < 0.05, non-linear associations P < 0.05) between BPA and E3 in the three trimesters. In the gender-stratified analysis, we observed significant negative relationships (β < 0, P < 0.05) between BPA and E2 among mothers carrying male fetuses in the 1st trimester and significant associations between BPA and E3 among mothers carrying female fetuses in the 2nd trimester. However, we found no significant relationship between BPA and E2 among mothers carrying female fetuses over three trimesters. ConclusionsOur findings support experimental evidence of non-monotonic relationships between BPA and three major estrogens, even at low doses of BPA. Mothers delivering male fetuses may be more sensitive to E2 at early pregnancy, and those delivering female fetuses may be more susceptive to E3 at mid-pregnancy.

Performance of variable selection methods for estimating the non-linear health effects of correlated chemical mixtures

OPS 05: Statistical methods to analyze mixtures, Room 114, Floor 1, August 27, 2019, 1:30 PM - 3:00 PM Background/Aim: Statistical methods for identifying harmful chemicals in a correlated mixture often assume linearity in exposure–response relationships. Non-monotonic relationships are biologically plausible (e.g., endocrine-disrupting chemicals); however, the impact of non-monotonicity on the performance of variable selection methods has not been evaluated. In a simulation study, we assessed the performance of three methods for the identification of important mixture components when exposure-response relationships are expected to be non-linear, including Bayesian kernel machine regression (BKMR), Bayesian additive regression trees (BART), and Bayesian structured additive regression with spike–slab priors (BSTARSS). We compared these methods to lasso penalised regression assuming linearity. Methods: We used data on exposure to phthalates and phenols in pregnant women from the U.S. National Health and Nutrition Examination Survey to simulate realistic exposure data using a multivariate copula, which allowed us to vary the correlation structure while preserving the observed marginal distributions. We simulated datasets of size N=250 and compared methods across 32 scenarios, varying by model size and sparsity, signal-to-noise ratio, exposure correlation structure, and shape of exposure–response relationships (including linear, S-shaped, and both symmetric and asymmetric inverse-U-shaped relationships). We compared the performance of methods in terms of their sensitivity, specificity, and estimation accuracy. Results: BKMR and BSTARSS achieved moderate to high specificity and sensitivity in most scenarios. BART achieved high specificity (>0.96), but low to moderate sensitivity (0.12–0.66). Lasso was highly sensitive (0.75–0.99), except when exposure–response relationships were symmetric inverse-U-shaped (<0.2). Performance was affected by changes in the signal-to-noise ratio but not substantially by the correlation structure. Conclusions: Penalised regression methods assuming linearity, such as lasso, may not be suitable in studies of environmental chemicals hypothesised to have non-monotonic relationships with outcomes. Instead, BKMR and BSTARSS may be used to flexibly estimate the shapes of exposure–response relationships and to select among correlated exposures in small sample size studies.

The complex refractive index of dusty plasma

For dusty plasma, dust particle is a new component from the perspective of composition compared with common plasma. The complex refractive index, as an important parameter for studying the optical characteristic of dusty plasma, the influence of dust particles on it should be studied, mainly including the radius and number density. In this paper, the dependence of the complex refractive index on the temperature and pressure with different radius and number densities of dust particles is given. It is found that due to the existence of dust particles, the complex refractive index has a non-monotonic relation with the temperature and pressure, and the inflection points are different with different radius and number densities. In further, the possible reason which could cause the above physical phenomenon in the non-monotonic relationships is analyzed. In a word, the involved study could be supply some reference on the study of dusty plasma’s optical characteristic.

Double-wave reentry in excitable media.

A monolayer of chick embryo cardiac cells grown in an annular geometry supports two simultaneous reentrant excitation waves that circulate as a doublet. We propose a mechanism that can lead to such behavior. The velocity restitution gives the instantaneous velocity of a wave as a function of the time since the passage of the previous wave at a given point in space. Nonmonotonic restitution relationships will lead to situations in which various spacings between circulating waves are possible. In cardiology, the situation in which two waves travel in an anatomically defined circuit is referred to as double-wave reentry. Since double-wave reentry may arise as a consequence of pacing during cardiac arrhythmias, understanding the dynamic features of double-wave reentry may be helpful in understanding the physiological properties of cardiac tissue and in the design of therapy.

Dispersion effects on the freshwater–seawater interface in subsea aquifers

Recent recognition of the widespread occurrence of freshwater beneath the ocean has renewed interest in approaches to understand and predict its extent. The most straightforward methodologies are based on the sharp-interface approximation, which neglects dispersive mechanisms. The understanding of dispersion effects on freshwater extents in coastal aquifers is based almost entirely on onshore aquifer situations. This study explores dispersion in offshore coastal aquifers, in terms of the steady-state freshwater extent, seawater circulation and freshwater discharge, through numerical experimentation. Results show that increasing dispersion causes a seaward shift in the interface toe location, as expected, whereas the interface tip shows a non-monotonic relationship with dispersion that depends on the contrast between aquifer and aquitard hydraulic conductivities. Higher dispersion leads to enhanced seawater recirculation rates and freshwater discharge, as opposed to non-monotonic relationships obtained previously for onshore aquifers. The mixing zone at the toe widens as dispersion increases, similar to onshore cases, whereas the mixing zone at the tip has a surprisingly non-monotonic relationship with dispersion. The dispersion relationships revealed in this study can be explained by counteractions between dispersion, density and advective forces, and refraction across the aquifer-aquitard interface, which in combination produce offshore aquifer behaviour that differs, in some ways, to the manner in which onshore aquifers respond to dispersive processes. Consequently, previous empirical corrections to sharp-interface methods (to account for dispersive effects) applied to onshore coastal aquifers are ineffective in their application to offshore settings.

Self‐Assembly of Polyethylene Glycol Ether Surfactants in Aqueous Solutions: The Effect of Linker between Alkyl and Ethoxylate

AbstractThe aqueous self‐assembly behavior of two homologous series of poly(ethylene oxide) (PEO)‐containing nonionic surfactants based on a C10‐Guerbet hydrophobe is reported. The two families of surfactants, alkyl ethoxylates and alkyl alkoxylates, are commercially available from BASF under the trade name Lutensol® XP‐series and XL‐series, respectively. The latter incorporate propylene oxide (PO) units in the surfactant chain. Dye solubilization was used to determine the critical micellization concentration (CMC) of each surfactant at 22 and 50 °C. The PO‐containing alkyl alkoxylates displayed lower CMC values, which were also more sensitive to temperature. The Gibbs free energy, enthalpy, and entropy of micellization were computed from the CMC data and used to identify the contribution of each surfactant moiety (alkyl chain, PO unit, and PEO block) in controlling the CMC. The micellization properties are compared with compositionally similar surfactants with linear alkyl chains, yielding information about the effects of the Guerbet alkyl chain on micellization. Isothermal titration calorimetry was also used to characterize the CMC and enthalpy of micellization which generally compare well with the dye solubilization results. Cloud point data reveal nonmonotonic relationships for the Lutensol® surfactants with respect to composition, unlike linear alkyl chain surfactants. Finally, dilute solution viscosity measurements performed on some Lutensol® surfactants show a change in the slope, suggesting a structural change that tends to be more pronounced for surfactants with longer PEO blocks. The data presented herein enhance the understanding of surfactant structure–property relationships required for industrial formulation.

Neurotoxicity of BPA, BPS, and BPB for the hippocampal cell line (HT-22): An implication for the replacement of BPA in plastics

Bisphenol A (BPA), a plastic additive, is ubiquitous in the environment and has endocrine disrupting effects. As many countries have prohibited the manufacture and sale of plastic products with BPA, BPA analogs have been used to replace BPA during production, including bisphenol S (BPS) and bisphenol B (BPB). To investigate the toxicities of BPA and its analogs on neurons, reactive oxygen species (ROS) assay, Annexin V-FITC (fluorescein) apoptosis detection assay, lactate dehydrogenase (LDH) cytotoxicity assay, and Cell Counting Kit-8 assay were conducted to comprehensively assess the influence of different concentrations of BPA, BPB, and BPS on ROS, apoptosis, damage, and proliferation for hippocampal HT-22 cells, respectively. Results showed that 6 h of exposure to bisphenols (BPs) could increase the ROS levels, 24 h and 48 h of exposure could induce higher apoptosis and LDH leakage rates for HT-22 cells, and 7 d of exposure could inhibit the cell proliferations. In addition, non-monotonic dose-response relationships were observed between the concentrations of bisphenols and the toxic effects mentioned above. The neurotoxic effects of BPA, BPB and BPS on HT-22 cells were in the increasing order of BPS, BPA, and BPB. In conclusion, these results showed that exposure to BPA and its analogs may result in adverse effects on hippocampal neuronal cell lines. BPS is a surrogate with lower neurotoxicity to replace BPA in production of plastic utensils.

Flaws in design, execution and interpretation limit CLARITY-BPA's value for risk assessments of bisphenol A.

The Consortium Linking Academic and Regulatory Insights on BPA Toxicity (CLARITY-BPA) involved the Food and Drug Administration, the National Toxicology Program and 14 academic investigators funded by the National Institute of Environmental Health Sciences. Two key questions to be answered by CLARITY-BPA were as follows: (1) Would the academic investigator studies show effects at low doses of bisphenol A (BPA) while the core guideline study conducted by the FDA only showed toxic effects at high doses? (2) Would the academic investigators be able to replicate their numerous prior studies with animals raised and treated in the FDA's toxicology centre? Several flaws in the design and execution of CLARITY-BPA biased the experiment towards not finding significant results (Type 2 error): (1) use of the oestrogen-insensitive NCTR CD-SD rat, (2) use of a stressful daily gavage BPA administration procedure throughout life, (3) lack of inclusion of non-gavaged negative controls and (4) lack of a comprehensive examination of animals for BPA contamination. In spite of these flaws, in some of the experiments conducted by CLARITY-BPA academic investigators, and also in the FDA's core study, there were significant low-dose effects, but these were ignored by the FDA. Thus, immediately after releasing the results from their core portion of CLARITY-BPA, the FDA issued a statement concluding BPA was "safe," and they ignored non-monotonic dose-response relationships. The FDA should not base its BPA risk assessment only on outdated guideline studies, but instead on the vast (~8000) number of publications documenting the similar health hazards BPA poses to animals and humans.

Do international and product diversification strategies affect human rights and employee orientation disclosures? An across‐country empirical study of large multinational enterprises

Research SummaryThis study examines the relationships between market strategies (international diversification and product diversification) and nonmarket strategies (human rights and employee orientation disclosures) in 335 largest global companies from 31 countries. Hypotheses generated from the Institutional and Stakeholder theoretical perspectives proposed two alternative nonmonotonic relationships (an inverted U‐shape and a U‐shape) between market and nonmarket strategies. Data on company human rights and employee disclosures were collected from the Annual Reports of the MNE's parent company. The results of Generalized Least Square (GLS) regressions generally support both hypothesized nonmonotonic relationships and the results vary by region (Europe, the Anglo‐Saxon cluster, and Asia and emerging markets).Managerial SummaryGlobal companies diversify internationally by entering new countries and at the same time also diversify into more and more products. Global firms also need to take into account the concerns of various stakeholders such as stockholders, employees, governments, suppliers, and nongovernmental organizations. We relate the diversification strategies (international and product) with nonmarket strategies in the form of human rights and employee disclosures made by global firms in their annual reports. We propose two alternative relationships (an inverted U‐shaped pattern and a U‐shape) between both types of market and nonmarket strategies. We find the relationships vary by the three regions of the world: Anglo‐Saxon cluster, Europe, and Asia and emerging markets. We speculate that national business systems and culture may account for these differences.

Synergistic Effects of Pseudocolor Imaging, Differentiation, and Square and Logarithmic Conversion on Accuracy of Quantification of Chemical Characteristics Using Test Strips and Similar Products

Test strips and similar products are highly feasible tools for the rapid and approximate determination of chemical characteristics. Although the application of both the quantitative observation of coloration and regression modeling has recently enabled these products to become quantitative tools, their precision and accuracy may be further improved. In this study, the pseudocolor imaging of the coloration image, derivative spectrophotometry-like differentiation of the coloration values, and logarithmic conversion of the raw and derivative values were compared in terms of the precision and accuracy of the quantitative determination of corrosiveness, glucose, nitrate, and pH using the products. The best regression models for the determination were provided by the combination of pseudocolor imaging and differentiation (nitrate and pH); pseudocolor imaging, differentiation, and square-conversion (corrosiveness); or all of the techniques (glucose). When compared to the use of the original 10 raw coloration variables of red-green-blue, cyan-magenta-yellow-key black, and L*a*b* color models only, the above combinations improved the normalized mean absolute error from 14.8% to 3.09% (corrosiveness), 6.33% to 3.15% (glucose), 7.46% to 4.56% (nitrate), and 3.22% to 0.94% (pH). These achievements were largely attributed to the combination of multiple variables that have non-linear and nonmonotonic relationships with the chemical characteristics.

Does Competitive Behavior not Mean Lower Prices? Impact of Growing Demand and Limited Seat Availability in Asia-Pacific Commercial Aviation Industry

ABSTRACTThis article explores the airline industry where passengers are heterogeneous in their willingness to pay and markets are capacity constrained. Contrary to conventional wisdom, theauthor find that more intense competition can result in higher prices and a lower aggregate supply. It is shown that the price of the seat with a lower profit margin-per-unit capacity may be higher when there is a smaller number of companies in competition. It is also shown that total supply of business class seats may be reduced when there are more firms in competition. These phenomena occur because of how competition affects airlines’ seat capacity allocation among products. Interactions between competition and seat capacity constraints are nontrivial including nonmonotonic relationships.