Stability Of Preferences Research Articles

On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods

Preference elicitation frameworks feature heavily in the research on participatory ethical AI tools and provide a viable mechanism to enquire and incorporate the moral values of various stakeholders. As part of the elicitation process, surveys about moral preferences, opinions, and judgments are typically administered only once to each participant. This methodological practice is reasonable if participants’ responses are stable over time such that, all other things being held constant, their responses today will be the same as their responses to the same questions at a later time. However, we do not know how often that is the case. It is possible that participants’ true moral preferences change, are subject to temporary moods or whims, or are influenced by environmental factors we don’t track. If participants’ moral responses are unstable in such ways, it would raise important methodological and theoretical issues for how participants’ true moral preferences, opinions, and judgments can be ascertained. We address this possibility here by asking the same survey participants the same moral questions about which patient should receive a kidney when only one is available ten times in ten different sessions over two weeks, varying only presentation order across sessions. We measured how often participants gave different responses to simple (Study One) and more complicated (Study Two) controversial and uncontroversial repeated scenarios. On average, the fraction of times participants changed their responses to controversial scenarios (i.e., were unstable) was around 10-18% (±14-15%) across studies, and this instability is observed to have positive associations with response time and decision-making difficulty. We discuss the implications of these results for the efficacy of common moral preference elicitation methods, highlighting the role of response instability in potentially causing value misalignment between the stakeholders and AI tools trained on their moral judgments.

Design and Functionalization of Lignocellulose‐Derived Silicon‐Carbon Composites for Rechargeable Batteries

AbstractSilicon/carbon (Si/C) composites present great potential as anode materials for rechargeable batteries since the materials integrate the high specific capacity and the preferable cycling stability from Si and C components, respectively. Functional Si/C composites based on lignocellulose have attracted wide attention due to the advantages from lignocellulose, including sustainability property, flexible structural tunability, and diverse physicochemical functionality. Although the flourishing development of rechargeable batteries boosts the studies on lignocellulose‐derived Si/C materials with high electrochemical performance, the publications that comprehensively clarify the design and functionalization of these high‐profile materials are still scarce. Accordingly, this review first systematically summarizes the recent advances in the structural design of lignocellulose‐derived Si/C composites after a brief clarification about the Si selection sources based on self and extraneous sources. Afterward, the functionalization strategies, including nanosizing, porosification, and magnesiothermic reduction of Si material as well as heteroatom modification of C material, are specifically highlighted. Besides, the applications of lignocellulose‐derived Si/C‐based materials in rechargeable batteries are elaborated. Finally, this review discusses the challenges and prospects of the application of lignocellulose‐derived Si/C composites for energy storage and provides a nuanced viewpoint regarding this topic.

Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds.

Why do individuals animals spontaneously change their preferences over time? While stable idiosyncratic behavioral preferences have been proposed to help species survive unpredictable environments as part of a bet-hedging strategy, the role of intraindividual shifts in preferences is unclear. Using Drosophila melanogaster , we show the stability of individual preferences is influenced by genetic background and neuromodulation, and is therefore a regulated phenomenon. We use theoretical modeling to show that shifts in preferences may be adaptive to environments that change within an individual's lifespan, including many real world patterns of environmental fluctuations. Together, this work suggests that the stability of individual preferences may affect the survival of species in unpredictable worlds - understanding that may be increasingly important in the face of anthropogenic change.

Enhanced piezoelectric properties of KNN-based ceramics by synergistic modulation of phase constitution, grain size and domain configurations

Despite significant advancements in KNN-based piezoelectric ceramics, controlling their grain size remains a challenge, impacting reproducibility of piezoelectric properties. Here, we address this issue by initially investigating the defect chemistry of a ternary system 0.96 K0.48Na0.52Nb0.96Sb0.04O3-0.04Bi0.5Na0.5ZrO3-ABO3 (KNNS-BNZ-ABO3). The ABO3 dopant not only influences the phase constitution, but also induces different charge compensation mechanisms, affecting the grain size and domain configurations of ceramics. Furthermore, the relationship between the grain size and the piezoelectric properties is investigated. The superior piezoelectric charge coefficient (d33) of 435 pC/N, ultra-high planar mode electromechanical coupling factor (kp) of 0.62 and preferable temperature stability are obtained in KNN-based ceramics with large grain size (∼50 μm) and hierarchical domain structures. Finally, we elucidated the intrinsic and extrinsic contribution of the grain size on piezoelectric properties of KNN-based piezoceramics based on Rayleigh analysis. Our work provides an effective paradigm for the development of lead-free piezoelectric ceramics for industrial applications.

The role of helper lipids in optimising nanoparticle formulations of self-amplifying RNA

Lipid nanoparticle (LNP) formulation plays a vital role in RNA vaccine delivery. However, further optimisation of self-amplifying RNA (saRNA) vaccine formulation could help enhance seroconversion rates in humans and improve storage stability. Altering either the ionisable or helper lipid can alter the characteristics and performance of formulated saRNA through the interplay of the phospholipid's packing parameter and the geometrical shape within the LNP membrane. In this study, we compared the impact of three helper lipids (DSPC, DOPC, or DOPE) used with two different ionisable lipids (MC3 and C12–200) on stability, transfection efficiency and the inflammation and immunogenicity of saRNA. While helper lipid identity altered saRNA expression across four cell lines in vitro, this was not predictive of an ex vivo or in vivo response. The helper lipid used influenced LNP storage where DSPC provided the best stability profile over four weeks at 2–8 °C. Importantly, helper lipid impact on LNP storage stability was the best predictor of expression in human skin explants, where C12–200 in combination with DSPC provided the most durable expression. C12–200 LNPs also improved protein expression (firefly luciferase) and humoral responses to a SARS-CoV-2 spike saRNA vaccine compared to MC3 LNPs, where the effect of helper lipids was less apparent. Nevertheless, the performance of C12–200 in combination with DSPC appears optimal for saRNA when balancing preferred storage stability requirements against in vivo and ex vivo potency. These data suggest that helper lipid influences the stability and functionality of ionisable lipid nanoparticle-formulated saRNA.

THE STRATEGIC BUSINESS ANALYSIS USING PESTEL AND PORTER’S FIVE FORCES MODEL (A Study about 德州美墨炸雞 Rangers Fried Chicken Taipei-Taiwan)

This study is a quantitative study by analyzing The Strategic Business Analysis Using Pestel And Porter’s Five Forces Model (A Study About 德州美墨炸雞 Rangers Fried Chicken Taipei-Taiwan), using PESTEL analysis and Porter's Five Forces model with a qualitative approach. The results show that economic stability, technological developments, and changes in consumer preferences provide opportunities and challenges. The tight competition in the fast food restaurant industry is characterized by the presence of international and local players. Adaptive and innovative strategies are needed to maintain competitiveness, including improving product quality, diversifying menus, and adopting the latest technology.

Comparative study of optimal compression pressure between conventional Barton's dressing and prefabricate garment in parotidectomy patients.

Excessive compression after parotidectomy can lead to flap necrosis, while inadequate pressure can cause fluid accumulation. This study aimed to determine the optimal pressure and compression properties of different types of dressings. Initially, pressure measurements were taken for conventional Barton's dressing and a pre-fabricated facial garment. In the subsequent phase, patients were randomly assigned to receive one of three types of pressure dressings: conforming bandage Barton's dressing, elastic bandage Barton's dressing or pre-fabricated facial garment. The dressing types were randomly crossed over the following day. The mean pressure exerted by conventional Barton's dressing and the pre-fabricated facial garment was 15.86 and 14.81 mmHg, respectively. There was no significant difference in the proportion of optimal pressure among the three types of pressure dressing (p-values of 0.195, 0.555 and 0.089 at pre-auricular, angle of mandible and post-auricular sites, respectively). The pre-auricular area demonstrated the highest proportion of optimal pressure, while suboptimal pressure was noted at the angle of the mandible and post-auricular area. Dressing types had no effect on pressure stability (p = 0.37), and there was no significant difference in patient preference (p = 0.91). Conforming bandage Barton's dressing, elastic bandage Barton's dressing and pre-fabricated facial garment exhibit comparable compressive properties, with no significant difference in patient preference and pressure stability.

Investigation of the mechanical properties of TiC particle-reinforced Al–Cu alloys: Insights into interface precipitation mechanisms and strengthening effects

The increase in the mechanical performance of Al–Cu alloys through TiC particle reinforcement represents a significant improvement in the field of aluminum alloy strengthening. However, the precipitation behavior at the aluminum matrix and TiC interface requires further exploration. In this study, the induced precipitation mechanisms at the TiC interface and the impact of interface precipitates on bonding were investigated through scanning transmission electron microscopy (STEM) and first-principles calculations. The results indicate that θ′-Al2Cu exhibits heterogeneous nucleation on the TiC substrate, and the (100) Al/(110) θ′-Al2Cu/(100) TiC interface structure possesses the lowest formation energy. Consequently, the precipitation of θ′-Al2Cu at the Al/TiC interface demonstrates thermodynamic preference and energy stability. Tensile simulations reveal that the presence of interface precipitates effectively enhances the strength of the interface structure. Electronic structure analysis indicates a “barrel effect” in the stretched interface model, with fracture occurring in the weakest-bonded Al lattice near the phase interface. Additionally, θ′-Al2Cu, acting as an interface adhesive, enhances the chemical bond strength between Al and TiC interface atoms. This work provides novel insights into particle-induced interface precipitation behavior and interface fracture mechanisms.

Stability of Willingness to Pay: Does Time and Treatment Allocation in a Randomized Controlled Trial Influence Willingness to Pay?

Willingness-to-pay (WTP) estimates are useful to policy makers only if they are generalizable beyond the moment when they are collected. To understand the "shelf life" of preference estimates, preference stability needs be tested over substantial periods of time. We tested the stability of WTP for preventative dental care (scale and polish) using a payment-card contingent valuation question administered to 909 randomized controlled trial participants at 4 time points: baseline (prerandomization) and at annual intervals for 3 years. Trial participants were regular attenders at National Health Service dental practices. Participants were randomly offered different frequencies (intensities) of scale polish (no scale and polish, 1 scale and polish per year, 2 scale and polishes per year). We also examined whether treatment allocation to these different treatment intensities influenced the stability of WTP. Interval regression methods were used to test for changes in WTP over time while controlling for changes in 2 determinants of WTP. Individual-level changes were also examined as well as the WTP function over time. We found that at the aggregate level, mean WTP values were stable over time. The results were similar by trial arm. Individuals allocated to the arm with the highest scale and polish intensity (2 per year) had a slight increase in WTP toward the latter part of the trial. There was considerable variation at the individual level. The WTP function was stable over time. The payment-card contingent valuation method can produce stable WTP values in health over time. Future research should explore the generalizability of these results in other populations, for less familiar health care services, and using alternative elicitation methods. Stated preferences are commonly used to value health care.Willingness-to-pay (WTP) estimates are useful only if they have a "shelf life."Little is known about the stability of WTP for health care.We test the stability of WTP for dental care over 3 y.Our results show that the contingent valuation method can produce stable WTP values.

Shocks and Stability of Risk and Time Preferences among Poor Rural Households in Ethiopia

Abstract This paper examines the effects of shocks on temporal stability of risk and time preferences of rural households within a developing country context characterized by frequent droughts, chronic food insecurity, and low levels of education. Leveraging a three-wave large and diverse household panel data that elicits preferences every two years for more than 6,500 individuals from over 5,600 sample rural households in Ethiopia, we analyze the effects of droughts (self-reported) and rainfall shortfalls on household risk and time preferences. Our findings show that households become more risk-averse and impatient after experiencing drought and rainfall shocks; the change in risk preferences is more notable among households that experience recurrent droughts and multiple covariate shocks during the same period.

Arginine and tryptophan-rich dendritic antimicrobial peptides that disrupt membranes for bacterial infection in vivo

The potent antibacterial activity and low resistance of antimicrobial peptides (AMPs) render them potential candidates for treating multidrug-resistant bacterial infections. Herein, a minimalist design strategy was proposed employing the “golden partner” combination of arginine (R) and tryptophan (W), along with a dendritic structure to design AMPs. By extension, the α/ε-amino group and the carboxyl group of lysine (K) were utilized to link R and W, forming dendritic peptide templates αRn(εRn)KWm-NH2 and αWn(εWn)KRm-NH2, respectively. The corresponding linear peptide templates R2nKWm-NH2 and W2nKRm-NH2 were used as controls. Their physicochemical properties, activity, toxicity, and stability were compared. Among these new peptides, the dendritic peptide R2(R2)KW4 was screened as a prospective candidate owing to its preferable antibacterial properties, biocompatibility, and stability. Additionally, R2(R2)KW4 not only effectively restrained the progression of antibiotic resistance, but also demonstrated synergistic utility when combined with conventional antibiotics due to its unique membrane-disruptive mechanism. Furthermore, R2(R2)KW4 possessed low toxicity (LD50 = 109.31 mg/kg) in vivo, while efficiently clearing E. coli in pulmonary-infected mice. In conclusion, R2(R2)KW4 has the potential to become an antimicrobial regent or adjuvant, and the minimalist design strategy of dendritic peptides provides innovative and encouraging thoughts in designing AMPs.

Occupational Safety Assessment for Surface Mine Systems: The Case in Jordan

Surface mining is one of the hazardous industries that have several risky operations, including transportation, treatment, and mineral extraction. To avoid the risk of disaster, it is important to evaluate safety procedures and determine expected hazards. The aim of this study is to develop a thorough safety evaluation model for the surface mining industry based on the analytic hierarchy process (AHP), one important multi-criteria decision-making approach. A total of 11 criteria and 36 sub-criteria that are both independent and homogeneous were involved in the decision problem. Further, a deep sensitivity analysis was conducted to assess the stability of the ranking preference. The findings indicate that four out of the eleven criteria are particularly significant. To test the model’s applicability and effectiveness, a case study was conducted involving three surface mining companies located in the north of Jordan. The results demonstrate that the model is reliable, applicable, and effective in addressing real-world problems.

Constructing Zn-based MOF-MXene nanoarchitectures to stabilize ultrafine Pt nanocrystals with enhanced methanol oxidation performance

Although the development of direct methanol fuel cell technology is regarded as one rational option to against severe energy crises and environmental pollution, the low efficiency and considerable costs of current Pt-based anode catalysts largely impede the broad-scale commercialization. Herein, a convenient bottom-up approach is developed to the spatial construction of ultrafine Pt nanocrystals stabilized on a porous heterojunction matrix built from Zn-based metal organic frameworks and Ti3C2Tx MXene nanolamellas (Pt/ZIF-Ti3C2Tx) through the stepwise solvothermal reactions. The intercalation of metal organic frameworks produces plentiful cavities and channels for the dispersion and immobilization of small-sized Pt nanoparticles, while the incorporation of Ti3C2Tx nanosheets optimizes the Pt electronic structure and ensures a high electron conductivity. As a consequence, the as-acquired Pt/ZIF-Ti3C2Tx nanoarchitectures manifest exceptional electrocatalytic methanol oxidation abilities in terms of a large electrochemically active surface area of 110.5 m2 g−1, a high mass activity of 1900.1 mA mg−1, and preferable long-term stability, all of which are significantly superior to those of conventional Pt/carbon and Pt/unmodified Ti3C2Tx catalysts.

Two-stage consensus reaching process in social network large group decision-making with application to battery supplier selection

Trust relationships play an important role in social network large group decision making (SN-LGDM). Extant studies overlook the self-adjustment stage of decision makers (DMs) and the binding force of subgroup on preference adjustment in consensus reaching process (CRP). This article proposes a new two-stage CRP for SN-LGDM considering self-adjustment and binding force of subgroup. A new trust propagation approach is presented based on individual trust level. An improved grey clustering algorithm is devised based on the fusion of preference similarity and trust relationship. The preference stability and the awareness of big picture are defined to determine the weights of DMs. The subgroup size, cohesion and influence are integrated to determine the weights of subgroups comprehensively. For the new two-stage CRP, the first stage is self-adjustment stage. DMs may proactively choose to adjust the preference or update the trust relationship according to the degree of matching between the trust relationship and preference difference. In the second stage, four scenarios are identified and the corresponding adjustment strategies are given considering the intention of DM to modify and the binding force of subgroup, which makes the consensus more consistent with reality. A battery supplier selection case is offered to illustrate the proposed method.

Combined estrogen-progestin oral contraceptives and female sexuality: an updated review.

Sexual side effects of combined oral contraceptives (COCs) have not been fully understood, but increasing evidence prompts broader risk/benefit evaluation and merits inclusion in counseling on contraceptive options. The study sought to explore the impact of combined estrogens-progestin oral contraceptives on components of female sexuality, including sexual desire, anatomic genitourinary changes, lubrication, orgasm, provoked vestibulodynia, well-being, body image, partner preference, and relationship stability. A literature review was performed between April 2023 and January 2024 exploring the association between combined oral contraceptive pills and sexual health. Although COCs decrease free testosterone, it is unclear if COCs affect sexual function, including desire. Antiandrogenic COCs do seem to have a negative effect on sexual arousal, lubrication, and orgasm. Provoked vestibulodynia may be related to early onset of COC use, low-estrogen pills, and antiandrogenic progestins. Emotional and sexual side effects are strong predictors of COC discontinuation. Longitudinal data indicate that using COCs when meeting and selecting a partner has implications on sexual satisfaction and relationship length. Analysis of data is complicated by various doses and forms of estrogen and progestin in COCs, which have changed over time. Lack of randomized placebo-controlled studies and heterogenicity in study design hampers generalized statements about the effects of COCs on sexual function. Despite these challenges, consideration of sexual dysfunction when presenting and prescribing hormonal contraception is essential for informed consent, shared decision making, and ensuring reliable contraceptive choices.

Oral Delivery of Astaxanthin via Carboxymethyl Chitosan-Modified Nanoparticles for Ulcerative Colitis Treatment.

The oral delivery strategy of natural anti-oxidant and anti-inflammatory agents has attracted great attention to improve the effectiveness of ulcerative colitis (UC) treatment. Herein, we developed a novel orally deliverable nanoparticle, carboxymethyl chitosan (CMC)-modified astaxanthin (AXT)-loaded nanoparticles (CMC-AXT-NPs), for UC treatment. The CMC-AXT-NPs were evaluated by appearance, morphology, particle size, ζ-potential, and encapsulation efficiency (EE). The results showed that CMC-AXT-NPs were nearly spherical in shape with a particle size of 34.5 nm and ζ-potential of -30.8 mV, and the EE of CMC-AXT-NPs was as high as 95.03%. The CMC-AXT-NPs exhibited preferable storage stability over time and well-controlled drug-release properties in simulated intestinal fluid. Additionally, in vitro studies revealed that CMC-AXT-NPs remarkably inhibited cytotoxicity induced by LPS and demonstrated superior antioxidant and anti-inflammatory abilities in Raw264.7 cells. Furthermore, CMC-AXT-NPs effectively alleviated clinical symptoms of colitis induced by dextran sulfate sodium salt (DSS), including maintaining body weight, inhibiting colon shortening, and reducing fecal bleeding. Importantly, CMC-AXT-NPs suppressed the expression of pro-inflammatory cytokines like TNF-α, IL-6, and IL-1β and ameliorated DSS-induced oxidative damage. Our results demonstrated the potential of CMC-modified nanoparticles as an oral delivery system and suggested these novel AXT nanoparticles could be a promising strategy for UC treatment.

Research Advances of Nonfused Ring Acceptors for Organic Solar Cells.

The last few decades have witnessed the rapid development of organic solar cells (OSCs). High power conversion efficiencies (PCEs) of over 19% have been successfully achieved due to the emergence of fused-ring acceptors (FRAs). However, the high complexity and low yield for the material synthesis result in high production costs of FRAs, limiting the further commercial application of OSCs. In contrast, nonfused ring acceptors (NFRAs) with the merits of facile synthesis, high yield, and preferable stability can promote the development of low-cost OSCs. Currently, the PCEs of NFRAs-based OSCs have exceeded 17%, which is expected to reach efficiency comparable to that of the FRAs-based OSCs. This review describes the advantages of the recent advances in NFRAs, which emphasizes exploring how the chemical structures of NFRAs influence molecular conformation, aggregation, and packing modes. In addition, the further development of NFRA materials is prospected from molecular design, morphological control, and stability perspectives.

Photoelectrochemical Sensor Based on MoS2/BI2MoO6 Heterojunction for Triptriolide Detection

Thunder God Vine has multiple effects such as anti-inflammatory, anti-tumor, and anti-fertility. One of its main active ingredients, triptriolide, can exert anti-tumor effects by targeting transcription factors, kinases, or inhibiting the ubiquitin/proteasome pathway to inhibit cell proliferation and promote tumor cell apoptosis. However, its high toxicity and poor water solubility limit its application. This study aims to develop a novel photoelectrochemical (PEC) sensor based on MoS2/Bi2MoO6 nanohybrids for the rapid and accurate detection of triptriolide. The PEC sensor is a fundamental tool for extracting and identifying valuable bioactive compounds from this plant. Under optimal conditions, 0.01–10[Formula: see text]ng[Formula: see text]mL[Formula: see text] of triptriolide could be identified, with the detection limit being as low as 0.005[Formula: see text]ng[Formula: see text]mL[Formula: see text]. With advantages like rapid response, high sensitivity and preferable stability, the developed sensor is suitable for real-time monitoring of triptriolide levels in actual samples.

Site preference and local structural stability of Bi(III) substitution in hydroxyapatite using first-principles simulations.

Bismuth (Bi(III)) substitution in hydroxyapatite (HAp) lattice confers unique properties such as antibacterial, catalytic, radiosensitization, and conductive properties while preserving the innate bioactivity. Understanding the local structural changes upon Bi3+ substitution is essential for controlling the stability and optimizing the properties of HAp. Despite numerous experimental studies, the precise substitution behaviors, such as site preference and structural stability, remain incompletely understood. In this study, the substitution behavior of Bi(III) into the HAp lattice with formula of Ca9Bi(PO4)6(O)(OH) was investigated via first-principles simulation by implementing density functional theory. Energy calculations showed that Bi3+ preferentially occupies the Ca(2) site with an energy difference of ∼0.02 eV per atom. Local structure analysis revealed higher bond population values and an oxygen coordination shift from 7 to 6 for the Ca(2) site, attributed to the greater covalent interactions and its flexible environment accommodating the bulky Bi3+ ion and its stereochemically active lone pair. This work provides the first comprehensive investigation on Bi3+ ion substitution site preference in HAp using first-principles simulations.

Weather risks, crop losses, and risk proneness: An examination of evolving risk preferences of rice farmers in Bangladesh

Changing climate poses significant challenges for smallholder rice farmers. Weather-related deviations from longer-term patterns and crop losses due to abiotic hazards can affect farmer risk preferences and drive adaptive responses. In addition, farmers’ proneness to and past experiences with crop risks such as drought, submergence, and excess soil salinity can impact their baseline risk preferences and their response to changing risks. Using data for Bangladesh from two waves of the Rice Monitoring Survey, climate-related data (precipitation and temperature), farmer reports of crop losses, and measures of proneness to abiotic risks, this article estimates how weather deviations from longer-term trends, crop losses, and proneness to crop risks (submergence, drought, and soil salinity) affect elicited risk preferences over time. This research finds evidence in favor of the hypothesis that larger absolute seasonal deviations from past patterns of seasonal mean daily minimum temperature and seasonal total precipitation yield increased risk aversion. In addition, the research provides mixed evidence with respect to risk proneness and farmers’ change in risk preferences over time. Contrary to our original hypothesis, individuals with land more prone to soil salinity become more risk averse rather than less, but, consistent with our hypothesis, those with land more prone to crop submergence become more risk preferring over time. Because of differences in crop experiences and degrees of proneness to risk, risk preferences for farmers in different regions are predicted to evolve along different pathways. This article contributes to the literature on risk preference formation by considering the possibility that less significant deviations than shocks might also contribute to evolving risk preferences. In addition, the article emphasizes the regional heterogeneity of changing preferences. An ancillary finding of this work suggests that risk preferences are only weakly related over time, contrary to other findings in the literature on the stability of risk preferences. Of policy relevance, the differential experiences in weather variability at the regional and local levels yield important differences in changes in preferences and should give rise to careful, regional-level policies to support adaptation to changing weather.