Stability Of Preferences Research Articles

A Personalized Approach of Patient-Health Care Provider Communication Regarding Colorectal Cancer Screening Options.

Current colorectal cancer screening guidelines by the US Preventive Services Task Force endorse multiple options for average-risk patients and recommend that screening choices should be guided by individual patient preferences. Implementing these recommendations in practice is challenging because they depend on accurate and efficient elicitation and assessment of preferences from patients who are facing a novel task. To present a methodology for analyzing the sensitivity and stability of a patient's preferences regarding colorectal cancer screening options and to provide a starting point for a personalized discussion between the patient and the health care provider about the selection of the appropriate screening option. This research is a secondary analysis of patient preference data collected as part of a previous study. We propose new measures of preference sensitivity and stability that can be used to determine if additional information provided would result in a change to the initially most preferred colorectal cancer screening option. Illustrative results of applying the methodology to the preferences of 2 patients, of different ages, are provided. The results show that different combinations of screening options are viable for each patient and that the health care provider should emphasize different information during the medical decision-making process. Sensitivity and stability analysis can supply health care providers with key topics to focus on when communicating with a patient and the degree of emphasis to place on each of them to accomplish specific goals. The insights provided by the analysis can be used by health care providers to approach communication with patients in a more personalized way, by taking into consideration patients' preferences before adding their own expertise to the discussion.

Developmental stability in gender-typed preferences between infancy and preschool age.

Infants exhibit visual preferences for gender-typed objects (e.g., dolls, toy vehicles) that parallel the gender-typed play preferences of preschool-aged children, but the developmental stability of individual differences in early emerging gender-typed preferences has not yet been characterized. In the present study, we examined the longitudinal association between infants' (N = 51) performance on an object-preference task, administered between 6 and 13 months of age, and their play preferences at 4 years of age. Greater visual interest in a toy truck relative to a doll in infancy predicted significantly greater male-typical toy and activity preferences (e.g., play with vehicles, videogames) at age 4. These findings suggest that gender-typed object preferences present during the 1st year of life may represent the developmental precursors of gender-typed play preferences observed later in childhood. (PsycINFO Database Record

The Formation of Party Preference in Adolescence and Early Adulthood: How and When Does It Occur in the Multiparty Context of the Netherlands?

This cohort-sequential panel study on Dutch youths ( N = 3394) and their parents examined the formation of party preference between age 12 and 25. Specifically, it aimed to pinpoint the most formative component and age in a multiparty context. Opinionation, stability and correlates were examined for three components of party preference: party identification, voting intention and left-right identification. Results revealed that most youths formed a preference at some point during their early life. The 6-year stability of party preference was already substantial during early adolescence and increased until early adulthood. Party preference became increasingly related to youths’ social characteristics and issue attitudes with age, but parents remained important. Whereas studies from two-party systems emphasized the importance of party identification, this study suggested that left-right identification may instead predominate the early formation, intergenerational transmission and life-course stability of party preference in the Netherlands. The most formative period was around age 18.

Decadal stability in top predator habitat preferences in the Bay of Biscay

Most oceanographic systems, especially shelf ecosystems, are characterised by interannual variability in the timing, extent and intensity of their seasonal patterns. Such interannual variations have important consequences on top predator habitat preferences. Capitalising on oceanographic surveys performed every spring since 2004 in the Bay of Biscay (BoB), this study explored interannual variations in habitat preferences exhibited by five mobile top predator species: bottlenose and common dolphins, auks, fulmars and northern gannets. We expected to find species with similar habitat preferences every year or species exhibiting important variability in their habitat preferences. First, we identified with a Principal Component Analysis (PCA) three different habitats of varying extent depending on year: river plumes, central shelf waters and shelf edge. Second, the Principal Components were used to explore the habitat preferences of predators through Generalized Additive Models. We fitted two kinds of models, using and not using the year as an interaction term, to test whether habitat preferences changed across years. Our results showed a range of habitat strategies based on the specificity and stability of species preferences. Species exhibiting narrower habitat preferences also exhibited stronger stability in their preferences among years while the species with wider habitat preferences exhibited higher variability among years. The target habitats differed across studied species, with bottlenose dolphins targeting the shelf edge exclusively, auks preferring river plumes, fulmars exhibiting a gradual preference from the shelf edge to river plumes and gannets being present in any of the three habitats. In contrast, the habitat preferences of common dolphins, the most sighted cetacean species in the BoB, could not be reliably inferred.

Sensory preference and bloom stability of chocolate containing cocoa butter substitute from coconut oil

Coconut oil (CNO) is a main source of cocoa butter substitute (CBS). CBS is proposed to improve the appearance, taste of chocolate and increase the stability of chocolate against bloom formation. Therefore, the objective of the research was to determine the effects of CNO substituted at different levels (0%, 1.5%, 3.0% and 4.5%) on physicochemical, sensory acceptance and bloom stability of the chocolate. The TAG composition differed among the chocolate produced. Substitution of CNO in chocolate formulations reduced the melting profile, Tonset (30.72–28.98 °C), Tpeak (36.64–34.39 °C), and Tendset (40.31–36.36 °C). The rheological behavior, Casson yield and Casson viscosity of the chocolate also decreased. The Casson yield and Casson viscosity decreased as amount of CNO substituted increased. In sensory profiling, the scores for the color of chocolate did not differ significantly with control chocolate. However, the glossiness, taste and overall acceptability of chocolate C was more preferred by consumers with the highest amount of CNO (4.5%) substitution. The chocolate containing CNO shows slower rate of bloom formation during storage compared to control chocolate. Chocolate C had the highest stability against bloom formation. This study suggested that CNO substitution at 4.5% has the potential to improve appearance and taste of the chocolate with less effects on the melting profile and rheological behavior. In addition, application of CNO as CBS able to increase the stability of chocolate against bloom formation.

Eccentric fixation patterns, clinical findings, and reading speed in patients with bilateral toxoplasmic macular retinochoroiditis

To study visual acuity, refractive errors, eccentric fixation, and reading performance in patients with toxoplasmic macular retinochoroiditis. Twenty-three participants with bilateral toxoplasmic macular retinochoroiditis and 4 with toxoplasmic macular retinocho-roiditis in their unique eye were evaluated. Participants reported their eye dominance, confirmed by the Portus and Miles test. Best corrected visual acuity, spherical equivalent refraction, magnification need, and reading speed were measured. Microperimetry (MAIA, Centervue - Padova, Italy) recorded the preferred retinal locus and fixation stability by means of the bivariate contour ellipse area. Fourteen eyes from 14 normally sighted subjects served as controls. Mean ± SD best corrected visual acuity was better in the dominant eye than in the nondominant eye: 0.9 ± 0.2 (logMAR 0.5 to 1.4) vs. 1.2 ± 0.3 (logMAR 0.6 to 1.7) (p<0.0001, paired t-test). Spherical equivalent myopia of -4.00 or higher was present in 42% of the eyes. Microperimetry was performed in 42 eyes. Eccentric fixation was observed in all examined eyes. In 14 eyes (33%), the preferred retinal locus was placed (in the retina) superior temporal to the macular lesion, in 10 (24%) superior nasal, in 6 (14%) inferior temporal, and in 12 (28%) inferior nasal. There was no significant difference in the distribution of the preferred retinal locus position between dominant and nondominant eyes (p=0.85, Pearson test). There was no correlation between reading speed and the distance between the preferred retinal locus and the estimated original foveal position (r=-0.09; p=0.73), the bivariate contour ellipse area (r=-0.19; p=0.44), or best corrected visual acuity (r=0.024; p=0.92). Myopia is more prevalent in patients with toxoplasmic macular retinochoroiditis. Reading speed is not dependent on preferred retinal locus position, stability, or visual acuity. Nevertheless, documentation of fixation provides new data on the impact of visual impairment in these patients and may be useful for rehabilitation efforts.

Coordination-supported organic polymers: mesoporous inorganic–organic materials with preferred stability

A simple and versatile strategy is developed for the synthesis of coordination-supported organic polymers(COPs) via coordination between Al3+ and 5-amino-8-hydroxyquinoline together with organic imine- or imide-based polycondensation.

The Dynamic Properties of Economic Preferences

The time-stability of preferences is a crucial and ubiquitous assumption in economics, yet to date there is no method to test its validity. Based on a model of the dynamics of individual preferences, I develop a simple method to test this assumption. Time-persistance in preferences is captured via an autoregressive parameter that accounts for observable characteristics and is unattenuated by measurement error, which forms the basis of the test. The method also estimates the variance of persistent shocks to latent preferences, which measures unobserved heterogeneity, and preference measurement error. I illustrate the use of this method by testing the stability of risk aversion and patience using micro-level data, and find that patience is time-stable but risk aversion is not. However, change very slowly over time. This method provides researchers with a simple tool to properly test the assumption on preference stability, and to measure the degree of preference changes due to observable and unobservable factors.

The Many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences

There is vast heterogeneity in the human willingness to weigh others’ interests in decision making. This heterogeneity concerns the motivational intricacies as well as the strength of other-regarding behaviors, and raises the question how one can parsimoniously model and characterize heterogeneity across several dimensions of social preferences while still being able to predict behavior over time and across situations. We tackle this task with an experiment and a structural model of preferences that allows us to simultaneously estimate outcome-based and reciprocity-based social preferences. We find that non-selfish preferences are the rule rather than the exception. Neither at the level of the representative agent nor when we allow for several preference types do purely selfish types emerge. Instead, three temporally stable and qualitatively different other-regarding types emerge endogenously, i.e., without pre-specifying assumptions about the characteristics of types. When ahead, all three types value others’ payoffs significantly more than when behind. The first type, which we denote as strongly altruistic type, is characterized by a relatively large weight on others’ payoffs – even when behind – and moderate levels of reciprocity. The second type, denoted as moderately altruistic type, also puts positive weight on others’ payoff, yet at a considerable lower level, and displays no positive reciprocity while the third type is behindness averse, i.e., puts a large negative weight on others’ payoffs when behind and behaves selfishly otherwise. We also find that there is an unambiguous and temporally stable assignment of individuals to types. Moreover, the three-type model substantially improves the (out-of-sample) predictions of individuals’ behavior across additional games while the information contained in subject-specific parameter estimates leads to no or only minor additional predictive power. This suggests that a parsimonious model with three types captures the bulk of the predictive power contained in the preference estimates.

The Many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences

The Many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences

Memory of Medical Scenarios for End-of-Life Support Preferences.

We studied memory of health scenarios for end-of-life support decisions and stability of life support preferences. Psychology students (n = 36, age M = 27.25, SD = 6.21, 64% females) were administered the Life Support Preferences Questionnaire to assess their memory of six medical scenarios with different prognoses, care treatment, and end-of-life support choices. Recall, recognition, confidence and decision stability were assessed immediately and one month later. Correct recall decreased and incorrect recall increased from immediate to long-term recall, F(2, 68) = 74.38, p < .001, η2p = .69. In recall, participants spontaneously gave false information consistent with prior knowledge of illnesses and medical scenarios. Participants who had suffered a disease or serious accident did worse on correct recall, F(1, 34) = 6.59, p = .015, η2p = .16, and had more errors, F(1, 34) = 4.68, p = .038, η2p = .12, than participants who had not. In the recognition test there were no differences between hits and false alarms, showing the difficulty in discriminating between true and false contents. Confidence was greater for hits than for false alarms, F(1, 34) = 10.86, p = .002, η2p = .24, but this subjective measure did not seem to be a good predictor of accuracy because confidence was greater than the mean value for hits (p = .001, d = 1.74) and for false alarms (p = .001, d = 0.96). Long-term memory was quite poor and biased, but life support preferences did not change much.

The fold preference and thermodynamic stability of α-synuclein fibrils is encoded in the non-amyloid-β component region.

The heterogeneity of the synucleinopathies, neurological disorders that include Parkinson's disease (PD), indicates that toxicity, seeding/cross-seeding ability, and propagation of α-synuclein (αS) assemblies depend on their distinct structural characteristics or "strain". To examine the molecular signature that encodes the aggregation seed, conformational preference, and thermodynamic stability of full-length αS fibrils, we performed molecular dynamics simulations on two non-amyloid-β component (NAC) fibril structures, containing residues 61-95 of two distinct αS fibrils. We identified several discrete hot spots in the recognized hydrophobic core of NAC (residues 68-82) that could initiate the early assembly of αS. We show that NAC fibrils inherit the preferred fold of their parent αS fibril, but could switch conformational preference in two fibril mutants K80Q and E83Q under different solution conditions. Similar to αS fibrils, NAC fibrils are also sensitive to temperature and salt concentration. The favorable solvation free energy of NAC fibrils at low temperature (280 K) suggests a propensity for cold-denaturation. Our results indicate that the strain-dependent synucleinopathies may be partially imprinted in the fold-dependent thermodynamic properties of NAC fibrils, providing structural insights into the emerging development of anti-PD treatments that target the NAC region of αS.

Multi-View Maximum Entropy Clustering by Jointly Leveraging Inter-View Collaborations and Intra-View-Weighted Attributes.

As a dedicated countermeasure for heterogeneous multi-view data, multi-view clustering is currently a hot topic in machine learning. However, many existing methods either neglect the effective collaborations among views during clustering or do not distinguish the respective importance of attributes in views, instead treating them equivalently. Motivated by such challenges, based on maximum entropy clustering (MEC), two specialized criteria-inter-view collaborative learning (IEVCL) and intra-view-weighted attributes (IAVWA)-are first devised as the bases. Then, by organically incorporating IEVCL and IAVWA into the formulation of classic MEC, a novel, collaborative multi-view clustering model and the matching algorithm referred to as the view-collaborative, attribute-weighted MEC (VC-AW-MEC) are proposed. The significance of our efforts is three-fold: 1) both IEVCL and IAVWA are dedicatedly devised based on MEC so that the proposed VC-AW-MEC is qualified to effectively handle as many multi-view data scenes as possible; 2) IEVCL is competent in seeking the consensus across all involved views throughout clustering, whereas IAVWA is capable of adaptively discriminating the individual impact regarding the attributes within each view; and 3) benefiting from jointly leveraging IEVCL and IAVWA, compared with some existing state-of-the-art approaches, the proposed VC-AW-MEC algorithm generally exhibits preferable clustering effectiveness and stability on heterogeneous multi-view data. Our efforts have been verified in many synthetic or real-world multi-view data scenes.

Low-density lipoprotein decorated silica nanoparticles co-delivering sorafenib and doxorubicin for effective treatment of hepatocellular carcinoma

Combinational therapy is usually considered as a preferable approach for effective cancer therapy. Especially, combinational chemotherapies targeting different molecular targets are of particular interest due to its high flexibility as well as efficiency. In our study, the surface of silica nanoparticles (SLN) was modified with low-density lipoprotein (LDL) to construct platform (LDL-SLN) capable of specifically targeting low-density lipoprotein receptors (LDLRs) that overexpressing in hepatocellular carcinoma (HCC). In addition, the versatile drug loading capacity of LDL-SLN was employed to fabricate a preferable drug delivery system to co-deliver sorafenib (Sor) and doxorubicin (Dox) for combinational chemotherapy of HCC. Our results revealed that the LDL-SLN/Sor/Dox nanoparticles with size around 100 nm showed preferable stability in physiological environments. Moreover, the LDL-SLN/Sor/Dox could target LDLR overexpressed HepG2 cells. More importantly, both in vitro and in vivo experiments demonstrated that the LDL-SLN/Sor/Dox exerted elevated antitumor efficacy compared to Sor or Dox alone, which indicated that LDL-SLN/Sor/Dox could be a powerful tool for effective combinational chemotherapy of HCC.

Learning to Decide with and without Reasoning: How Task Experience Affects Attribute Weighting and Preference Stability

AbstractCertain experiments have shown that reasoning may weaken the stability of people's preferences, especially with regard to well‐learned perceptual judgment and decision‐making tasks, while learning has an opposite, consistency‐enhancing effect on preferences. We examined the effects of these factors in a visual multi‐attribute decision‐making task where reasoning, in contrast, has been found to benefit judgments by making them more stable. The initial assumption in this study was that this benefit would be typical for novel tasks, like the one employed here, and that it would decrease when the task is thoroughly learned. This assumption was examined in three experiments by contrasting it with an alternative assumption that this previously obtained beneficial effect is caused solely by learning, not by reasoning. It was found that learning indeed makes preferences more stable by consolidating the weights of the attributes. Reasoning, however, does not benefit this task when it is completely novel but facilitates learning and stability of the preferences long run, therefore increasing the consistency of the participants in the macrolevel. Copyright © 2017 John Wiley &amp; Sons, Ltd.

Decision-making in children in the Hungry Donkey Test: A behavioral analysis

ABSTRACTThis study analyzed choice behavior in the Hungry Donkey Task, with a focus on learning trajectories and the stability of preference, in 100 children of different ages (8–9, 10–11, 12–13, 14–15, and 16–17 years old). The results indicated that (a) learning occurred as the task progressed, (b) early adolescents performed poorly during the task, and (c) most of the participants did not reach the stability criterion during the task. The present study suggests that decision-making in children and adolescents varies with age, and that the inclusion of an operant-based approach (e.g., the use of stability criterion) may improve methods for evaluating decision-making in children.

PAN ultrafiltration membranes grafted with natural amino acids for improving antifouling property

In this report, antifouling polyacrylonitrile (PAN) ultrafiltration membranes were prepared from blends of PAN/polyglycidyl methacrylate (PGMA) via phase inversion method followed by the grafting of natural amino acids through epoxy ring-opening reaction. The grafted PAN membranes possessed highly stable hydrophilic surfaces as a result of the grafting of amino acids, which was adequately demonstrated in attenuated total reflectance–Fourier transform infrared spectroscopy (ATR/FTIR), X-ray photoelectron spectroscopy (XPS), and contact angle measurements. The results of tensile strength and scanning electron microscopy (SEM) images further proved that the surface modification had little effect on their mechanical properties, surface, and cross-sectional morphologies. Meanwhile, remarkable resistance against bovine serum albumin (BSA) and lysozyme (Lyz) fouling was observed for the neutral amino acid-based PAN membranes due to the formation of zwitterionic hydration layer on the membrane surface, while PAN membranes grafted with charged amino acids were able to prohibit the approach of like charged proteins with reduced deposition and provide the driving force for oppositely charged protein adsorption. Furthermore, the ultrafiltration and antifouling performance of PAN membranes were investigated by BSA filtration experiments. Compared with the pristine PAN membrane, all the modified PAN membranes exhibited higher pure water flux, better flux recovery ratio, lower rejection, less total permeation resistance, and preferable stability, having potential applications in protein separation and purification.

Quantum generalized observables framework for psychological data: a case of preference reversals in US elections.

Politics is regarded as a vital area of public choice theory, and it is strongly relying on the assumptions of voters' rationality and as such, stability of preferences. However, recent opinion polls and real election outcomes in the USA have shown that voters often engage in 'ticket splitting', by exhibiting contrasting party support in Congressional and Presidential elections (cf. Khrennikova 2014 Phys. ScriptaT163, 014010 (doi:10.1088/0031-8949/2014/T163/014010); Khrennikova & Haven 2016 Phil. Trans. R. Soc. A374, 20150106 (doi:10.1098/rsta.2015.0106); Smith et al. 1999 Am. J. Polit. Sci.43, 737-764 (doi:10.2307/2991833)). Such types of preference reversals cannot be mathematically captured via the formula of total probability, thus showing that voters' decision making is at variance with the classical probabilistic information processing framework. In recent work, we have shown that quantum probability describes well the violation of Bayesian rationality in statistical data of voting in US elections, through the so-called interference effects of probability amplitudes. This paper is proposing a novel generalized observables framework of voting behaviour, by using the statistical data collected and analysed in previous studies by Khrennikova (Khrennikova 2015 Lect. Notes Comput. Sci.8951, 196-209) and Khrennikova & Haven (Khrennikova & Haven 2016 Phil. Trans. R. Soc. A374, 20150106 (doi:10.1098/rsta.2015.0106)). This framework aims to overcome the main problems associated with the quantum probabilistic representation of psychological data, namely the non-double stochasticity of transition probability matrices. We develop a simplified construction of generalized positive operator valued measures by formulating special non-orthonormal bases with respect to these operators.This article is part of the themed issue 'Second quantum revolution: foundational questions'.

Iron-Cobalt Phosphomolybdate with High Electrocatalytic Activity for Oxygen Evolution Reaction.

Iron-cobalt phosphomolybdate (FeCoPM12 ) nanoparticles, which are highly efficient catalytic materials for the oxygen evolution reaction (OER), were fabricated through a coprecipitation route. Compared with iron-cobalt hydroxide and state-of-the-art RuO2 electrocatalysts, the as-prepared FeCoPM12 sample exhibited robust OER catalytic activity with a low overpotential of 258 mV at a current density of 10 mA cm-2 and a small Tafel slope of 33 mV dec-1 . Moreover, the as-synthesized sample presented preferable stability and after 10 h at 1.52 V the current density degraded by merely 8.3 %. This is ascribed to the high electrochemical stability and small porous structure of FeCoPM12 , which provide effective electron transmission and improve the catalytic performance for OER in alkaline media.

Immobilization of 2D/2D structured g-C3N4 nanosheet/reduced graphene oxide hybrids on 3D nickel foam and its photocatalytic performance

It is highly desired to immobilize photocatalysts on solid surface for environmental applications. In this work, 2D/2D structured g-C3N4/reduced graphene oxide (rGO) hybrids were successfully immobilized on 3D nickel foam using a facile dip-coating method followed by a hydrazine hydrate reduction process. The g-C3N4/rGO hybrids loaded on nickel foam forms a stable coating with excellent photocatalytic activity for tetracycline and methyl orange degradation under visible light irradiation. The highest photocatalytic activity can be achieved when the weight ratio of rGO to g-C3N4 in hybrids was illustrated as 1:9. Furthermore, this special 2D/2D structured g-C3N4/rGO hybrid coating demonstrated the preferable stability. The effective electrons transfer between g-C3N4 nanosheets and rGO as well as the abundant coupling heterointerfaces may play an important role on the photocatalytic performance of hybrid coating. The formation and photocatalytic mechanisms of g-C3N4/rGO hybrid coating were also proposed in detail.