Dual Process Research Articles

English as a ‘local’ language in Russia: the practice of meaning-making in in-group communication

The unprecedented global spread of the English language has become the catalyst for its transformation into the local meaning-making resource encoding the communication needs of various speech communities in different parts of the world. This dual process of globalization and localization is particularly evident in the Expanding Circle countries, where originally English had the status of a foreign language and was used primarily to communicate with foreigners. In Russia, which is one of the Expanding Circle countries, various aspects of “glocalization” of English, especially in the sphere of vocabulary, have attracted considerable attention. However, they have not been systemically studied, and our analysis aims to fill this gap. This paper describes the function of English as a language of in-group interaction in Russia. Taking a multiple case study approach and using a constant comparative technique, we reviewed our previous research on the use of English in different communities of practice, namely, the Russian offices of international companies, the young biking community, and the community of popular music professionals. We re-examined all previously collected material, including observational linguistic data and ethnographic interviews, and identified the following three features of English as a “local” language: truncated repertoire, bilingual creativity, or translanguaging, and ingroup-only function. We have also searched the Russian National Corpus for the frequency of several commonly used Anglicisms and English-derived tokens recorded from each community of practice. Based on the multiple case analysis and the Russian National Corpus study, we argue that English and Anglicisms are perceived by community members as an integral part of group repertoire, and group membership hinges on the knowledge of these terms and the ability to use them creatively.

Event Causality Identification via Competitive-Cooperative Cognition Networks

Identifying the causal relations between events is an important task in natural language processing (NLP). However, existing methods mainly leverage human empirical information about causality from limited labeled corpus or pseudo-data, which leads to an insufficient understanding of the causal mechanism. Inspired by the dual process theory (DPT) in cognitive science, we propose Competitive-Cooperative Cognition Networks (C3Net), including an intuitive causal reasoner, a logical causal reasoner, and a competitive selection mechanism, which directly learn and imitate the framework of the causal identification process in human brains. On the one hand, our model can inject external causal knowledge into the intuitive causal reasoner to improve the performance of intuitive reasoning. On the other hand, it can make explicit logical reasoning in a three-stage paradigm, mimicking human reasoning behavior: association→review→inference. Furthermore, we devise a novel competitive selection mechanism based on private evidence and historical patterns of each reasoner to determine which reasoner’s inference is more reliable. Experiments demonstrate that our approach can achieve better performance than previous baseline methods.

Fast & slow decisions under risk: Intuition rather than deliberation drives advantageous choices

Would you take a gamble with a 10% chance to gain $100 and a 90% chance to lose $10? Even though this gamble has a positive expected value, most people would avoid taking it given the high chance of losing money. Popular “fast-and-slow” dual process theories of risky decision making assume that to take expected value into account and avoid a loss aversion bias, people need to deliberate. In this paper we directly test whether reasoners can also consider expected value benefit intuitively, in the absence of deliberation. To do so, we presented participants with bets and lotteries in which they could choose between a risky expected-value-based choice and a safe loss averse option. We used a two-response paradigm where participants made two choices in every trial: an initial intuitive choice under time-pressure and cognitive load and a final choice without constraints where they could freely deliberate. Results showed that in most trials participants were loss averse, both in the intuitive and deliberate stages. However, when people opted for the expected-value-based choice after deliberating, they had predominantly already arrived at this choice intuitively. Additionally, loss averse participants often showed an intuitive sensitivity to expected value (as reflected in decreased confidence). Overall, these results suggest that deliberation is not the primary route for expected-value-based responding in risky decision making. Risky decisions may be better conceptualized as an interplay between different types of “fast” intuitions rather than between two different types of “fast” and “slow” thinking per se.

The impact of social media influencer's age cue on older adults' travel intention: The moderating roles of travel cues and travel constraints

The global aging population brings a growing older traveler market. This study applies social comparison theory to explore how travel influencers' age cues affect older adults’ travel intention through a dual process of assimilation (direct effect) and contrast (mediated by age identity). The moderating effects of travel cues (activity type and presence/absence of companions) and travel constraints are investigated as boundary conditions. Data were collected from older U.S. travelers through three online experiments. The results indicate that older travelers are inclined to visit destinations featured by old (vs. young) influencers, especially those with low intrapersonal or high interpersonal travel constraints. The marketing message is more effective when it features an old influencer pursuing a challenging (vs. relaxing) activity and a young influencer with companions (vs solo travel). The study findings provide valuable insight into leveraging social media influencer marketing for destinations and tourism businesses.

Dual-scale reinforcement of co-cure single lap joints through graphene nanoparticles and CFRP Z-pin

This study presents the report of the dual scale strengthening process to the co-cure (CC) single lap joint (SLJ) reinforced by Graphene nanoparticles (GNP) and carbon fiber reinforced polymer (CFRP) Z-Pin. The shear test indicated that inner and outer reinforcing with GNP in adhesive and Z-pin in SLJ improved shear properties. The combined reinforcement of GNP and 90°/Z-pin enhances shear strength under static loading with 99.89% compared to plain epoxy CC SLJ. After testing, microscopic images of the fractured specimen surface were used to investigate failures. The fractography studies reveal that adding GNP to the adhesive and Z pin in SLJ roughens the surfaces, strengthening adhesive-adherend contact.

The impact of time constraints on new venture investment decisions: an experimental study

ABSTRACT Researchers have suggested that new venture investors quickly conclude their decisions and rely on heuristics. However, there is a paucity of empirical work exploring the impact of time constraints on new venture investment decisions. To fill this gap, we are exploring the impact of time constraints on the new venture investment decision process and the final investment decision using the arguments of the Dual Process Theory. A balanced experiment setup is used, where the treated group is given time constraints to make the decision. Results show that investors under time constraints consider only a subset of the available information signals to perceive the probable prospects and to make final investment decisions. This consideration of a subset of information signals results in a partial assessment of the proposal where investors focus more on return potential than risk exposure aspect of investment proposals. This inclination towards return potential increases the scale of investment.

Active-site engineering of a frustrated-Lewis-pair Au-loaded Zn-Al catalyst for the highly stable synthesis of glycerol carbonate from co-utilisation of CO2 and glycerol

Solid frustrated-Lewis-pair catalysts, based on Zn-Al composite oxide modified loaded with Au (Aux/ZnAl-CHT), were prepared by calcination of hydrotalcite precursors and tested for the direct synthesis of glycerol carbonate using CO2 as the carbon source. An Au5/ZnAl-CHT catalyst shows the highest catalytic performance with the glycerol carbonate yield of 19.5 % and the selectivity of 50.5 % at 170 °C and 4.0 MPa CO2, while maintaining good thermal stability and excellent regeneration ability. A series of characterization results and density functional theory (DFT) calculations indicated the introduction of Au leads to more frustrated-Lewis-pairs in Zn-Al composite oxide (ZnAl-CHT), which improve the adsorption and activation of CO2. Meanwhile, FTIR analysis indicates that glycerol is activated by Zn2+ for the formation of zinc glycerolate intermediates. The above dual synergistic activation processes effectively enhance the catalytic performance. And the reaction pathway is proposed for the synthesis of glycerol carbonate from CO2 and glycerol.

Beyond thinking fast and slow: Implications of a transtheoretical model of clinical reasoning and error on teaching, assessment, and research

From dual process to a family of theories known collectively as situativity, both micro and macro theories of cognition inform our current understanding of clinical reasoning (CR) and error. CR is a complex process that occurs in a complex environment, and a nuanced, expansive, integrated model of these theories is necessary to fully understand how CR is performed in the present day and in the future. In this perspective, we present these individual theories along with figures and descriptive cases for purposes of comparison before exploring the implications of a transtheoretical model of these theories for teaching, assessment, and research in CR and error.

Dual process models of clinical reasoning: The central role of knowledge in diagnostic expertise.

Research on diagnostic reasoning has been conducted for fifty years or more. There is growing consensus that there are two distinct processes involved in human diagnostic reasoning: System 1, a rapid retrieval of possible diagnostic hypotheses, largely automatic and based to a large part on experiential knowledge, and System 2, a slower, analytical, conscious application of formal knowledge to arrive at a diagnostic conclusion. However, within this broad framework, controversy and disagreement abound. In particular, many authors have suggested that the root cause of diagnostic errors is cognitive biases originating in System 1 and propose that educating learners about the types of cognitive biases and their impact on diagnosis would have a major influence on error reduction. In the present paper, we take issue with these claims. We reviewed the literature to examine the extent to which this theoretical model is supported by the evidence. We show that evidence derived from fundamental research in human cognition and studies in clinical medicine challenges the basic assumptions of this theory-that errors arise in System 1 processing as a consequence of cognitive biases, and are corrected by slow, deliberative analytical processing. We claim that, to the contrary, errors derive from both System 1 and System 2 reasoning, that they arise from lack of access to the appropriate knowledge, not from errors of processing, and that the two processes are not essential to the process of diagnostic reasoning. The two processing modes are better understood as a consequence of the nature of the knowledge retrieved, not as independent processes.

Mapping models of care for children, adolescent and young adult cancer survivors: A scoping review.

e13793 Background: Young cancer survivors, with decades of life ahead, encounter substantial risks for treatment-related late effects. Achieving optimal outcomes requires a comprehensive multi-dimensional approach. This scoping review aimed to systematically map the evidence on models of survivorship care for Child (0-14) and Adolescent and Young Adult (AYA, 15-39) cancer survivors aligning with the Framework for Quality Cancer Survivorship. Methods: Conducted according to PRISMA extension for scoping reviews, this study systematically searched MEDLINE, CINAHL and Embase for English articles from Jan 2006 to Jan 2024. Inclusion criteria were studies describing patient and health service domain for Child and AYA cancer survivorship models of care. Dual processes were used for article screening, selection, and data extraction. A deductive analysis, using Content Analysis informed results, presented in a narrative synthesis. Results: Of the 5,298 records screened 38 described Child and 10 described AYA models of care. The majority were cohort and cross-sectional studies from the USA, Canada, and the UK representing 6,101 Child and 5,283 AYA cancer survivors. Across these diverse studies, a broad range of outcomes were identified with most domains of the Framework represented. No model of care described more domains than another. Across the 13 possible elements of care and outcomes, most (68%) reported on less than five of these. The domains most represented included elements of care rather than outcomes at the service level such as the clinic structure (52%), communication and decision making (52%) and patient/carer satisfaction (50%). At the patient level, quality of life outcomes and assessment and management of physical symptoms were represented in 40% of studies. There were few studies reporting on health promotion (23%), chronic conditions (13%), mortality and healthcare utilization (5% each) and none reported on costs. In terms of outcomes, oncologist long-term follow up care showed higher adherence to risk-based recommendations compared to primary care models in some studies. Other studies suggest a shared care model increases adherence and decrease lost to follow-up. At the service level, high satisfaction with care was common in all models. Overall, there was not enough to evidence to support one model over another in either Child or AYA survivorship care. Conclusions: Despite decades of research in survivorship care, there is not enough evidence about the effectiveness and efficiency of different models of care. No single model stands out as superior, and there are notable gaps in understanding the economic and value proposition of different models. Addressing these gaps is crucial for the future development, and provision of quality survivorship care tailored for this patient population.

Determining the dispersion time in Staphylococcus epidermidis biofilm using physical and molecular approaches

Despite being an innocuous commensal of human skin and mucous membranes, Staphylococcus epidermidis, infects surgical wounds and causes infections through biofilm formation. This study evaluates, in a time-dependent experiment, the self-dispersion of S. epidermidis CIP 444 biofilm when formed on borosilicate glass (hydrophilic) and polystyrene (hydrophobic) surfaces, using physical and molecular approaches. During a seven-day period of incubation, absorbance measurement revealed a drop in biofilm optical density on both studied surfaces on day 4 (0.043–0.035 nm/cm2, polystyrene), (0.06–0.053 nm/cm2, borosilicate glass). Absorbance results were correlated with crystal violet staining that showed a clear detachment from day 4. The blue color increases again on day 7, with an increase in biofilm optical density indicating the regeneration of the biofilm. Changes in gene expression in the S. epidermidis biofilm were assessed using a real-time reverse transcription-polymerase chain reaction. High expression of agr genes was detected on days 4 and 5, confirming our supposition of dispersion in this period, autolysin genes like atlE1 and aae were upregulated from day 3 until day 6 and the genes responsible for slime production and biofilm accumulation, were upregulated on days 4, 5, and 6 (ica ADBC) and on days 5, 6 and 7 (aap), indicating a dual process taking place. These findings suggest that S. epidermidis CIP 444 biofilms disperse at day 4 and reform at day 7. Over the course of the seven-day investigation, 2-ΔΔCt results showed that some genes in the biofilm were dramatically enhanced while others were significantly decreased as compared to planktonic ones.

Thinking disposition education improves cognitive reflection: Experimental results from an intervention study

Cognitive reflection is a construct measuring one's ability to disengage automatic or type I processing and instead activate effortful deliberation, described as type II processing in dual process theories. Successfully overriding intuitive responses is posited to rely on, in part, trait-like attributes known as thinking dispositions, though a causal link has not been established. The present research is the first randomized controlled trial investigating the effect of a novel thinking disposition intervention (TDI)—a 7-week educational curriculum—on cognitive reflection performance. In the present study, participants (N = 338) were randomized to either the TDI or a control condition. A Bayesian modeling approach suggests positive and moderate effects. Moreover, those in the treatment were over twice as likely to make CRT gains than those in the control group. Additional mediation and moderation analyses were conducted to test whether the TDI impacts CRT via thinking dispositions such as need for cognition and intellectual humility, and/or whether such attributes meaningfully interact with the intervention. Thinking dispositions do not appear to mediate this relationship, neither do they moderate the effect of the intervention. Implications for dual process theory are discussed.

Exploring the circular prospects of cashew nutshells and avocado seeds as potential adsorbents for onboard natural gas storage

Natural gas (NG), known for its eco-friendly energy attributes, faces challenges such as low volumetric density, leakage susceptibility, and explosion risks during storage and transport. To narrow this gap, this study reports on the potential of bio-based adsorbents from cashew nut shells (CNS) and avocado seeds (AVS) as an alternative approach for the onboard storage of NG. CNS and AVS were characterized to determine moisture content, volatile matter content, ash content, and fixed carbon content. Additionally, the study determined the optimal loading of activating agents to produce activated carbons (ACs). ACs were produced through a dual process involving simultaneous chemical activation and carbonization. In the chemical activation phase, a sample of either cashew nut shells (CNS) or avocado seeds (AVS) was impregnated with phosphoric acid at various ratios. Subsequently, the properties of the ACs, including surface area, pore volume, and X-ray diffraction (XRD), were evaluated. The NG adsorption capacity of the ACs was assessed, and Freundlich and Langmuir isotherm adsorption equations were derived to elucidate the NG adsorption behavior on the ACs. The results revealed that the proximate analysis of CNS and AVS showed low moisture content (6.48% and 8.91%), high volatile matter (80.21% and 73.09%), low ash content (1.48% and 4.71%), and high fixed carbon (13.65% and 15.59%), indicating suitability for AC formulations. During synthesis, adding phosphoric acid to AVS or CNS in a 1:1 ratio resulted in significantly larger surface areas and pore volumes in the produced ACs. X-ray diffraction analysis of the ACs produced from CNS or AVS with phosphoric acid added at a 1:1 ratio indicated a broad diffraction background and a predominantly amorphous structure. The performance of the ACs in the adsorption of NG demonstrated that ACs produced from 1:1 mixtures of CNS with phosphoric acid and AVS with phosphoric acid exhibited higher adsorption capacities, 0.038 g/g and 0.031 g/g, respectively, at a low pressure of 5 bar, showcasing a novelty of this study. Furthermore, the Freundlich equation test yielded a constant R² exceeding 0.9, with positive adsorption intensity and adsorption capacity values, indicating a favorable fit for the model. In contrast, the Langmuir equation test resulted in a constant R² exceeding 0.9, but the adsorption capacity exhibited negative values, leading to inconclusive explanations. These findings affirm that bio-wastes can be an effective source of adsorbents for onboard natural gas storage , suggesting a means to reduce the take-dispose model and promote a circular economy in the energy sector.

Hearing what you pay improves transaction satisfaction? Unveiling the dual process influence of auditory feedback

AbstractRetailers in certain regions, such as China, have recently implemented auditory feedback in cash registers to promptly announce consumer mobile payment status, but it presents a dual effect on consumers' transaction experiences. On one hand, auditory feedback enhances consumers' sense of control over the payment, leading to increased transaction satisfaction. On the other hand, it also intensifies consumers' pain of payment, resulting in decreased transaction satisfaction. Nevertheless, our study reveals an overall positive effect of auditory feedback on transaction satisfaction. We examined the moderating role of shopping motivation (functional vs. hedonic) and found that auditory feedback can enhance transaction satisfaction for consumers with functional shopping motivation and decrease it for consumers with hedonic shopping motivation. We also explored the moderating role of quick response (QR) code payments (dependent payment vs. autonomous payment) and observed a positive effect of auditory feedback on transaction satisfaction for dependent payment but not for autonomous payment. These findings contribute to the broader research on mobile payments and retailers aiming to enhance consumers' transaction experience.

A Comparative Study of Single and Dual Sintering Processes of Metal Nanoparticles for Flexible Electronics Application

The introduction of metallic nanoparticles (NPs) has revolutionized the fabrication of flexible electronic devices. Metallic NPs have numerous applications in the electronics industry due to their unique shape and size‐dependent properties compared to their bulk counterparts. However, the application of metallic NPs requires additional post‐processing procedures to remove stabilizing agents and additives, to achieve superior electrical conductivity. Herein, the sintering of printed metal NP patterns, including silver (Ag) and copper (Cu) NPs, fabricated on flexible polyimide substrates is explored using single and dual sintering methods. The single sintering methods involve exposing the printed metal NPs to either laser irradiation or thermal treatment. In the case of the dual sintering methods, one approach is to subject the printed metal patterns to thermal treatment followed by laser irradiation, while the other approach involves exposing the printed metal patterns to laser irradiation followed by thermal treatment. Moreover, this study identifies and compares the effects of these various sintering methods on the physical, electrical, chemical, and mechanical properties of the Ag and Cu NP patterns. Finally, the study suggests that dual sintering methods are more effective in improving the electrical conductivity and mechanical properties of the NP patterns under optimized sintering conditions.

An Exploring Study on Building Affective Artificial Intelligence by Neural-Symbolic Computing (Extended Abstract)

This short paper is the status report of a project in progress. We aim to model human-like agents' decision-making behaviors under risks with neural-symbolic approach. Our model integrates the learning, reasoning, and emotional aspects of an agent and takes the dual process thinking into consideration when the agent is making a decision. The model construction is based on real behavioral and brain imaging data collected in a lottery gambling experiment. We present the model architecture including its main modules and the interactions between them.

Properties of the modified self-forgiveness dual-process scale in populations at risk for moral injury.

Despite theory suggesting that self-forgiveness facilitates recovery from moral injury, no measure of self-forgiveness has been validated with individuals exposed to potentially morally injurious events (PMIEs). Military veterans, healthcare workers, and first responders who reported PMIE exposure (n=924) completed the Self-Forgiveness Dual-Process Scale, which assesses two dimensions of the self-forgiveness process. The first dimension, value affirmation, refers to appraising personal responsibility and being willing to make amends for one's involvement in a PMIE. The second dimension, esteem restoration, refers to accepting oneself as valuable and capable of growth despite one's failures and imperfections. Exploratory and Confirmatory Factor Analyses replicated the original scale's two-factor structure in 10 items modified to apply to the diverse contexts in which PMIEs occur. Next, we found that the factor structure, item loadings, and item intercepts were fully or partially invariant across professions, genders, races, ages, and religious affiliations in a series of Multi-Group Confirmatory Factor Analyses. Finally, diverging patterns of associations between value affirmation and esteem restoration with moral distress, posttraumatic stress, depression, insomnia, functional impairment, and posttraumatic growth provide evidence of convergent and discriminant validity between the subscales. The modified self-forgiveness dual process scale is the first measure of self-forgiveness to be validated with individuals exposed to a PMIE. Researchers and clinicians can use the scale to examine how self-forgiveness (or difficulties with forgiving oneself) relates to moral injury.

University absorptive capacity: Normative and perceived assessments

Knowledge management in universities is a dual process combining continuous learning and development of academic staff with the simultaneous transfer of knowledge to students. Collective capabilities and motivation of university employees to absorb and effectively apply knowledge underlie the so-called university absorptive capacity. However, characteristics perceived by workers and the level of absorptive capacity may contrast with the assessments based on university performance standards. The paper proposes and tests a dual method for judging on university absorptive capacity based on normative and perceived assessments. Methodologically, the study rests on knowledge management, the fundamental theoretical framework that covers the concept of absorptive capacity of an organization. Among the research methods are comparative analysis of university performance indicators and economic statistics. Empirical evidence includes data from the survey of 187 academic staff members of Ural Federal University (Ekaterinburg, Russia) and the Monitoring of Efficiency of Higher Educational Institutions in the RF in 2022–2023. Having performed content analysis, we identified the following evaluation parameters: the current level of employees’ knowledge and the potential for knowledge absorption in the organization. The first part of the methodology presents an algorithm for comparing the growth rates of normative performance indicators of the university in question with those of analogous universities. The second part deals with assessing absorptive capacity based on academic staff’s perceptions. The testing results indicate that there is a discrepancy between the normative and perceived assessments, which allowed us to propose a set of measures for adjusting the HR management model in a university.

Exploring the Relationship between Moral Decision-Making and Emotional Intelligence

Purpose: The general objective of the study was to explore the relationship between moral decision- making and emotional intelligence. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the relationship between moral decision- making and emotional intelligence. Preliminary empirical review revealed that emotional intelligence significantly influences individuals' ability to make ethically sound decisions, as evidenced by positive correlations between emotional intelligence and various aspects of moral decision-making. It found that individuals with higher emotional intelligence demonstrated superior emotional awareness, regulation, and empathy, enabling them to navigate moral dilemmas more effectively. The study highlighted the practical implications of these findings, suggesting that interventions aimed at enhancing emotional intelligence could promote ethical behavior in educational, organizational, and societal contexts. Overall, the research provided valuable insights into the intricate interplay between emotional intelligence and morality, informing strategies for fostering ethical leadership and social responsibility. Unique Contribution to Theory, Practice and Policy: The Social Learning theory, Cognitive Developmental theory and Dual Process theory may be used to anchor future studies on moral decision- making and emotional intelligence. The study offered recommendations that contributed significantly to theory, practice, and policy. It suggested further investigation into the underlying mechanisms of the relationship between moral decision-making and emotional intelligence. Practical implications included integrating emotional intelligence training into educational curricula and organizational practices, fostering ethical leadership and decision-making. Policy-wise, the study advocated for the integration of emotional intelligence and ethical education initiatives into broader societal frameworks. Collaboration among stakeholders was recommended to design evidence-based interventions promoting moral development and emotional competence, ultimately contributing to positive social change. Keywords: Moral Decision-Making, Emotional Intelligence, Education, Leadership, Ethical Dilemmas, Interventions, Stakeholders, Collaboration

Interactive attack-defense for generalized person re-identification

Generalized Person Re-Identification (GReID) aims to develop a model capable of robust generalization across unseen target domains, even with training on a limited set of observed domains. Recently, methods based on the Attack-Defense mechanism are emerging as a prevailing technology to this issue, which treats domain transformation as a type of attack and enhances the model’s generalization performance on the target domain by equipping it with a defense module. However, a significant limitation of most existing approaches is their inability to effectively model complex domain transformations, largely due to the separation of attack and defense components. To overcome this limitation, we introduce an innovative Interactive Attack-Defense (IAD) mechanism for GReID. The core of IAD is the interactive learning of two models: an attack model and a defense model. The attack model dynamically generates directional attack information responsive to the current state of the defense model, while the defense model is designed to derive generalizable representations by utilizing a variety of attack samples. The training approach involves a dual process: for the attack model, the aim is to increase the challenge for the defense model in countering the attack; conversely, for the defense model, the focus is on minimizing the effects instigated by the attack model. This interactive framework allows for mutual learning between attack and defense, creating a synergistic learning environment. Our diverse experiments across datasets confirm IAD’s effectiveness, consistently surpassing current state-of-the-art methods, and using MSMT17 as the target domain in different protocols resulted in a notable 13.4% improvement in GReID task average Rank-1 accuracy. Code is available at: https://github.com/lhf12278/IAD.