Model Asserts Research Articles

Photocatalytic degradation of Rhodamine B dye via Bi2O3 embedded BaO-P2O5-TeO2 glass nanocomposites: An ab initio study of structural, optical, and electrical transport properties

Bismuth incorporated glassy systems with composition xBi2O3-(1-x) [0.3BaO-0.3P2O5-0.4TeO2] (where x = 0.10, 0.15, 0.20, and 0.25) are synthesized by melt quenching technique. The glassy systems are examined for their structural, and surface morphological properties using XRD, SEM, and EDX analysis. A study of photocatalytic activity for the degradation of common organic dyes like Rhodamine B (RhB) dye under visible light is also carried out. From UV-vis absorbance data, the calculated optical band gap energy values declined from (2.99-2.56) eV, whereas the Urbach energy and refractive index values increased from (0.35 -0.52) eV, and (2.39 - 2.52), respectively with the rise of Bi2O3 content(x). Additionally, the fundamental processes of electrical conductivity have been studied within the framework of Jonscher's universal power law and the Almond-West formalism. The Mott and Greaves model asserts that the small polaron hopping model underlies DC conductivity; as Bi2O3 content increases, DC conductivity rises, but hopping distance (Rhop) and hopping energy (Whop) drop dramatically. The electrical conductivity study reveals the semi-conducting nature of the as-prepared samples. In our present study, we are focusing on the structural, optical, and electrical transportation properties, additionally, we investigated this class of glassy materials as a promising candidate for photocatalytic dye degradation. Our study reveals that RhB dye can degrade up to 75% within 340 min of visible light illumination. Moreover, the test demonstrates the production of superoxide radicals by the CB-electrons and hydroxyl radicals by the VB holes enables efficient photocatalytic dye degradation.

European identity's effect on immigration attitudes: Testing the predictions of the common Ingroup identity model versus ingroup projection model

AbstractA superordinate identity unites different subgroups into an overarching, common one. But does superordinate identification then improve or worsen attitudes towards the former outgroup? The common ingroup identity model (CIIM) asserts that recategorization ameliorates outgroup bias by reducing perceptions of intergroup threat. It predicts that superordinate identification will improve intergroup relations by promoting tolerance and acceptance of diversity. In contrast, the ingroup project model (IPM) asserts that identifying superordinately will actually exacerbate outgroup bias because ingroup members naturally project their own characteristics onto the superordinate category and will more strongly dislike the former outgroup for not fitting the “correct” superordinate prototype. Existing evidence—largely drawn from psychology lab experiments, not real‐world situations—suggests both models can be correct insofar as ingroup projection only occurs under certain conditions. In that case, which model is correct for European identity? Results from original survey data collected in three European countries (Germany, Poland, and the United Kingdom) show that increased identification with Europe is almost always associated with more favorable attitudes towards outgroup immigrants, even among those most likely to engage in ingroup projection. Future research should continue to investigate when and why this inclusivity does—and does not—hold.

The SAFE Model: State Authenticity as a Function of Three Types of Fit.

The SAFE model asserts that state authenticity stems from three types of fit to the environment. Across two studies of university students, we validated instruments measuring self-concept, goal, and social fit as unique predictors of state authenticity. In Study 1 (N = 969), relationships between fit and state authenticity were robust to controlling for conceptually similar and distinct variables. Using experience sampling methodology, Study 2 (N = 269) provided evidence that fit and authenticity co-vary at the state (i.e., within-person) level, controlling for between-person effects. Momentary variation in each fit type predicted greater state authenticity, willingness to return to the situation, and state attachment to one's university. Each fit type was also predicted by distinct contextual features (e.g., location, activity, company). Supporting a theorized link to cognitive fluency, situations eliciting self-concept fit elicited higher working memory capacity and lower emotional burnout. We discuss the implications of fit in educational contexts.

Analysis of the Apriori Algorithm for Enhancing Retail Product Staple Sales Recommendations

Products are fundamental commodities in the market that cater to various consumer needs and desires. This research employs the Apriori algorithm to generate product recommendations based on the analysis of high-demand patterns arising from product sales and association patterns. Specifically, we focus on identifying elevated sales in categories such as Bulk Products, Biscuits/Snacks, Drinks, Milk/Coffee/Tea, and Sauces & Spices during specific time intervals. The model's evaluation and validation entail measuring the Lift Ratio value, a key metric. In our assessment using the RapidMiner Studio application, we find that the Lift Ratio value equals 1. Consequently, our model asserts that combinations with a Lift Ratio value greater than or equal to 1 are deemed valid and beneficial.

A test of the 2 × 2 model of perfectionism with perceived distress, cognitive emotion regulation, and perfectionist cognitions

Based on within-person combinations of self-oriented perfectionism (SOP) and socially prescribed perfectionism (SPP), the 2 × 2 model asserts four personality subtypes: Non-Perfectionism, Pure SOP, Pure SPP, and Mixed Perfectionism. We tested whether these subtypes can be distinctively associated with perceived distress, cognitive emotion regulation (CER) strategies, and perfectionist cognitions. Results of multiple regressions with 213 adults (72.8% female, M = 34.07, SD = 12.04 years old) revealed that Pure SOP (compared with Non-Perfectionism) and Mixed Perfectionism (compared with Pure SPP) perceived similar levels of distress but reported more perfectionist cognitions and both adaptive and maladaptive CER strategies. The two subtypes associated with high SPP reported less adaptive CER strategies than the Pure SOP and Non-Perfectionism. The presence of the SOP facet did not mitigate the detrimental effects of the SPP facet on negative outcomes. On the contrary, the SOP facet seems to have a positive influence on the adoption of adaptive CER strategies and helps attenuate the detrimental effects of the SPP. Studies about the 2 × 2 model of perfectionism should focus on comparing the predicted values between each subtype of perfectionism.

Conscious expectancy rather than associative strength elicits brain activity during single-cue fear conditioning.

The neurocognitive processes underlying Pavlovian conditioning in humans are still largely debated. The conventional view is that conditioned responses (CRs) emerge automatically as a function of the contingencies between a conditioned stimulus (CS) and an unconditioned stimulus (US). As such, the associative strength model asserts that the frequency or amplitude of CRs reflects the strength of the CS-US associations. Alternatively, the expectation model asserts that the presentation of the CS triggers conscious expectancy of the US, which is responsible for the production of CRs. The present study tested the hypothesis that there are dissociable brain networks related to the expectancy and associative strength theories using a single-cue fear conditioning paradigm with a pseudo-random intermittent reinforcement schedule during functional magnetic resonance imaging. Participants' (n = 21) trial-by-trial expectations of receiving shock displayed a significant linear effect consistent with the expectation model. We also found a positive linear relationship between the expectancy model and activity in frontoparietal brain areas including the dorsolateral prefrontal cortex (PFC) and dorsomedial PFC. While an exploratory analysis found a linear relationship consistent with the associated strength model in the insula and early visual cortex, our primary results are consistent with the view that conscious expectancy contributes to CRs.

Truth Logic of Modalities Consistent and Incompatible: A Computational Program and Experimental Studies among College Students

College students give true judgment routinely, logicians can infer modal inferences, i.e., inferences that concern three alethic modalities; necessary (⸧), possible (◊), and impossible (⟢) from the premises that are logically consistent and incompatible. To achieve the desired results, logicians have intermingled alethic modalities with logical consistency and incompatibility, i.e., necessary consistent, impossible incompatible, possible consistent, or possible incompatible, and write them in classical modal logic as ⸧C (necessary consistent), ◊C (possible consistent) or ◊I (possibly incompatible) and ⟢I (impossible incompatible). M paradigm [Modality, Mental logic theory (MLT), and Mental model theory (MMT)] have been built to enlighten this truth logic. The basic idea of this study is to examine the theory; how do students judge whether two or more different propositions are possible? and, whether their judgment is true. Truth logic is used to construct some principles that help to justify the above theory. First, inferences have either ◊C/ ◊I or ⸧C but assertions are consistent. Second, each ◊C/ ◊I inference and premise is evaluated for both single and double model assertions, and they have consistency (i.e., ⸧C/◊C) and incompatibility (i.e., ◊I or ⟢I). As logicians have predicted, students mostly endorse inferences as ◊C/ ◊I rather than ⸧C and the ⟢I rate is higher in multi-model assertions. Syllogistic logical reasoning with conditionals (if, then...), conjunctions (and), disjunctions (or), and quantifiers “all” and “some” have been used in the M paradigm to evaluate predictions. Moreover, a computational program and experimental studies have strongly supported the all given principles and predictions.

A Study of Impingement of Stock Market on Indian Economy

In terms of purchasing power parity, the Indian economy is one of the biggest and is expected to keep expanding in the near future. Nevertheless, the nation's thriving economy is expected to go through a number of ups and downs, including changes in the stock market, which can have a big influence on its development. For instance, the Indian stock market experienced a large, methodical reorganisation from 1994 to 2005. Highlights of the Indian economy during this time period included an average GDP growth of 6.1%. Present research study is based on secondary data, collected from Annual Reports of Reserve Bank of India and official websites of NSE & BSE. The sample is ranged from year 2001-2022. For the purpose of the study, a linear regression model is incorporated to know the relationship between the stock indices, i.e., Nifty and Sensex and Gross Domestic Product (GDP). The regression model asserts that the movement in the stock market indices impacts the GDP positively in long run.

Empirical research frameworks in a changing world: The case of audit data analytics

Advances in data analytics is fundamentally changing the field of auditing. The primary objective of this paper is to develop a holistic, multidimensional framework to better understand the dynamics of the diffusion of audit data analytics (ADA). The framework we developed covers categories related to the diffusion of ADA (the technology, the actors using it, and the external rules that regulate it) and the actors reproducing the rules and technologies (focusing on the audit and cognitive processes). We analyze the key findings from 40 empirical studies within and across the interrelated categories of the framework. The findings emphasize that a better understanding of auditors’ judgment and decision making (cognitive processes) is fundamental for a study of the diffusion of ADA. Primary drivers of fundamental changes include audit quality, audit efficiency, and the expectation gap. Our results suggest that ADA competencies should be a professional priority. In addition, conceptual issues (the audit risk model, audit evidence, and audit assertions) and materiality considerations need to be resolved. A solution for these problems is a prerequisite for in-depth changes to audit standards, which in turn will also open the door to the diffusion of ADA.

On the dependent recognition of some long zinc finger proteins.

The human genome contains about 800 C2H2 zinc finger proteins (ZFPs), and most of them are composed of long arrays of zinc fingers. Standard ZFP recognition model asserts longer finger arrays should recognize longer DNA-binding sites. However, recent experimental efforts to identify in vivo ZFP binding sites contradict this assumption, with many exhibiting short motifs. Here we use ZFY, CTCF, ZIM3, and ZNF343 as examples to address three closely related questions: What are the reasons that impede current motif discovery methods? What are the functions of those seemingly unused fingers and how can we improve the motif discovery algorithms based on long ZFPs' biophysical properties? Using ZFY, we employed a variety of methods and find evidence for 'dependent recognition' where downstream fingers can recognize some previously undiscovered motifs only in the presence of an intact core site. For CTCF, high-throughput measurements revealed its upstream specificity profile depends on the strength of its core. Moreover, the binding strength of the upstream site modulates CTCF's sensitivity to different epigenetic modifications within the core, providing new insight into how the previously identified intellectual disability-causing and cancer-related mutant R567W disrupts upstream recognition and deregulates the epigenetic control by CTCF. Our results establish that, because of irregular motif structures, variable spacing and dependent recognition between sub-motifs, the specificities of long ZFPs are significantly underestimated, so we developed an algorithm, ModeMap, to infer the motifs and recognition models of ZIM3 and ZNF343, which facilitates high-confidence identification of specific binding sites, including repeats-derived elements. With revised concept, technique, and algorithm, we can discover the overlooked specificities and functions of those 'extra' fingers, and therefore decipher their broader roles in human biology and diseases.

Reaction to poor performers in task groups: A model of pro-group intent.

How do task groups react to poor performers? We integrate attribution theory with individual motivation theories in a novel, parsimonious model that makes nuanced predictions. Our model asserts that group members assess the poor performer's intent to help the group (i.e., pro-group intent) by first considering the poor performer's characteristics suggested by attribution theory: effort and ability. While attribution theorists have mainly assumed that low effort reflects lacking desire to contribute to group goals and that it is infeasible to acquire ability, motivation theories assume individuals set their goals to perform tasks and acquire skills based on both desirability (value) and feasibility (expectancy). As group members may well assume that a poor performer uses these criteria when forming a pro-group intent to contribute to group goals, low effort may also reflect the infeasibility of making the required contributions, and low ability may reflect a low desire to acquire new skills. Therefore, our model of pro-group intent predicts that desirability-feasibility assumptions moderate the effort-ability effect on reactions to poor performers and that evaluations of pro-group intent mediate this effect. Indeed, in five experiments (total N = 1,011), low effort only produced more negative reactions than low ability when a desirability attribution was made for effort, and a feasibility attribution was made for ability. In contrast, reversing these assumptions eliminated the effort-ability effect. This interaction was fully mediated by the performer's perceived pro-group intent. We discuss how our (meta-) intentional perspective informs existing accounts of poor performers, group processes, and motivation science. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

ISCER Marketing Mix: The New Holy Grail of Marketing Strategies

This paper proposes a modern, customer-centric and generic marketing mix to address the limitations of the numerous marketing mixes proposed over the past (almost) six decades – The I.S.C.E.R. ( or ISCER and pronounced IS-SIR ) Marketing Mix . ISCER represents Information , Solutions , Costs , Experiences and Relationships .The ISCER model asserts that to satisfy consumers’ wants/needs and gain a competitive advantage, the marketing executive should utilize relevant and reliable Information , to provide/create effective and efficient Solutions for consumers, at Costs the consumers are willing to incur, while creating exceptional Experiences and developing meaningful long-term Relationships with all stakeholders. Keywords: ISCER marketing mix, 4Ps Marketing Mix, marketing mix, marketing strategy, marketing, modern marketing mix, generic marketing mix. DOI: 10.7176/JMCR/88-04 Publication date: January 31 st 2023

Consensus Reaching in Multiple Attribute Group Decision Making: A Multi-Stage Optimization Feedback Mechanism With Individual Bounded Confidences

Existing consensus models focus on improving the group consensus level, but ignore whether a higher group consensus level means higher mutual acceptance of decision makers. In the field of opinion dynamics, the bounded confidence model asserts that the decision makers will accept the preferences of others within a neighborhood of theirs with width a certain confidence level. Inspired by this research methodology, this article develops a consensus model to address the acceptance issue based on individual bounded confidences. Specifically, a bounded confidence-based consensus measure is designed to measure the level of group mutual acceptance, and a multi-stage optimization feedback mechanism based on individual bounded confidences is proposed to maximize the group mutual acceptance and minimize the amount of preference adjustment. A numerical example and a simulation analysis are included to illustrate the use of the model and to justify its effectiveness, respectively.

Validating the Persian Version of Questionnaire of Educational and Learning Capital (QELC) in Iran

Unlike the traditional person-centred models where character traits are attached to the actions, the Actiotope Model of Giftedness (AMG) focuses on the person-environment interactions. The model asserts that successful learning requires essential sources including learning and educational capital situated in the environment. This study aims to validate the Persian version of the Questionnaire of Educational and Learning Capital (QELC) among students in Iran (n = 283). The Persian QELC was prepared and utilised to evaluate the sources revealed in the AMG. Results show that the Persian QELC has satisfactory psychometric properties.

Intonational Commitments

AbstractThis paper presents an analysis of inquisitive rising declaratives (Gunlogson 2001, Jeong 2018) within the Table model (Farkas & Bruce 2010). On this account, intonational tunes are modifiers of context update functions: rising intonation removes the speaker commitment component of a context update. This delivers a compositional account of the contributions of sentence type and intonational tune to the illocutionary mood of an utterance, showing how the semantic type of declarative sentences, the rising intonational tune, and a general-purpose utterance function (Farkas & Roelofsen 2017) conspire to derive the basic discourse effect of rising declaratives without any construction-specific stipulations. The account makes use of only the most fundamental representational primitives independently necessary to model assertions and neutral questions, showing that rising declaratives can be accounted for without recourse to projected commitments, metalinguistic issues, or explicit marking of commitment strength, evidence source, or epistemic bias (cf. Gunlogson 2008, Northrup 2014, Malamud & Stephenson 2015, Farkas & Roelofsen 2017). Inferences of bias generated by rising declaratives are accounted for with a novel pragmatics for the Table model, formalizing what is implicit in discussions of the role played in the model by speaker commitments and projected Common Grounds.

Dynamic pricing and advertising in the presence of strategic consumers and social contagion: A mean-field game approach

In this paper, we introduce a framework for new product diffusion that integrates consumer heterogeneity and strategic social influences at individual level. Forward-looking consumers belong to two mutually exclusive segments: individualists, whose adoption decision is influenced by the price and reputation of the innovation, and conformists, whose adoption decision depends on social influences exerted by other consumers and on the price. We use a mean-field game approach to translate consumer strategic interactions into aggregate social influences that affect conformists’ adoption decision. The game is played à la Stackelberg, with the firm acting as leader and consumers as followers. The firm determines its pricing and advertising strategies to maximize its profit over a finite planning horizon. We provide the conditions for existence and uniqueness of equilibrium and a numerical scheme to compute it. We conduct a series of numerical simulations to analyze firm’s strategy and diffusion processes for different parameter constellations. Our results suggest that the firm adopts a penetration pricing strategy in the presence of strategic consumers, whereas it decreases the price first and then increases it in face of myopic consumers. Moreover, our model asserts that diffusion of innovations is considerably shaped by the consumer heterogeneity. Indeed, our results show that as the fraction of one segment increases in the market, the consumers in the other segment have less tendency towards adoption.

Asset-based Community "Response": A Model Promoting Effective Student- Community Engagement in Disaster Scenarios.

In response to the coronavirus disease 2019 (COVID-19) pandemic, medical students organized grass-roots volunteer initiatives to address community-level needs. These required community partnerships and extra-institutional resources to effectively operate. Due to curricular constraints, these efforts often lacked familiarity and working knowledge of existing university infrastructure on how to engage with established community partnerships and resources. The authors call for institutions to capitalize upon the response experience gained by medical students during the pandemic. This includes 1) formally integrating the infrastructure and community relationships established by student COVID-19 volunteer initiatives into existing university community-engagement systems, and 2) incorporating asset-based community development (ABCD) into medical student curricula as a framework for community engagement and disaster response. A case study from the University of Nebraska Medical Center presents student COVID-19 response initiatives, their outcomes, and how their approach emulated the ABCD model. The ABCD model asserts that communities should use asset mapping to identify the skills and resources of community members, rather than using deficiency-oriented approaches. Further, the case study demonstrates how the use of an established ABCD model could have contributed to a more effective and efficient COVID-19 student response. Experiences at University of Nebraska Medical Center support the value of using a modified ABCD model to facilitate community relationships related to rapid health response. Formal integration of the ABCD model within a university's centralized office of community engagement will increase access and foster town-gown reciprocal relationships, empowering students, academic health centers, and surrounding communities in times of crisis and calm.

The Contexts of Political Participation: the Communication Mediation Model Under Varying Structural Conditions of the Public Sphere

The communication mediation model asserts that the effects of news use on political participation are mostly indirect, mediated through discussion. Recent research has shown that this mediation process is stronger in countries where freedom of the press and expression are also greater. Relying on data collected during election cycles in seventeen countries between 2013 and 2018, we examine how additional country-level factors, including political freedom and digital infrastructure, moderate the indirect relationship between news use and political participation via political talk. Results provide evidence that these factors condition both outcomes, but in different ways. For protest, two of three country-level indices moderate individual-level variation in the pathway between political talk and protest. For voting, two of three country-level indices moderate aggregate-level variation in the pathway between news use and political talk. Results are discussed in light of their implications for the communication mediation model and comparative political communication research.

The socio-ecological model as a framework for understanding junk food consumption among schoolchildren in Nepal

The consumption of industrially processed food, popularly known as junk food, is a growing public health concern worldwide, including in Nepal. Schoolchildren are a vulnerable group and they consume junk food at school. The aim of this study was to examine multi-level determinants of junk food consumption among basic schoolchildren using the socio-ecological model as a framework. A cross-sectional study was conducted among students (n = 404), and a self-reported questionnaire was used to collect the data. The chi-square test and logistic regression were applied to analyse the results using SPSS version 26. Nearly half (47%) of the students reported that they consumed junk foods at snack time. Important variables for explaining junk foodconsumption were knowledge of food and nutrition-a micro-level determinant; sharing knowledge of food and nutrition with classmates at school-a meso-level determinant; grade of student-an exo-level determinant; and occupation of parents-a macro-level determinant. However, multivariate analysis found that knowledge of food and nutrition (p < 0.05), and sharing knowledge of food and nutrition with classmates at school (p < 0.05) were the significant predictors of junk food consumption. Junk food consumption is common among basic-level students in the study schools. Multi-level determinants explain the factors associated with this behaviour, extending from micro to macro as the socio-ecological model asserts. This study points to the need for comprehensive school-based nutrition education that targets multiple levels of influence, focusing on active learning approaches to promote healthy dietary behaviour in students.

A numerical, theoretical and experimental study of the effect of thermocycling on the matrix-filler interface of dental restorative materials

ObjectiveThermocycling is widely used to age dental composites but with very different results from one study to another, even with apparent similar conditions. This study aims at understanding better the relative damaging speed of matrix and fillers, based on theoretical models. MethodsEight formulations of an experimental dental material were produced. The same organic matrix was used and silanated barium glass particles were added as fillers with different filler ratios. Samples were thermocycled up to 10 000 cycles. Three-point bending tests were carried out at different steps. The yield stress was measured among other mechanical properties. ResultsComposite properties were degraded by thermocycling. The decrease was slight during the first 5 000 cycles whereas it decreased significantly after 10 000 cycles. The Turcsányi model asserts that the interface yield stress is slightly affected in the first 5 000 cycles and then falls down, while the decrease of matrix yield stress is linear. SignificanceEach component of a composite does not age at the same rate. First, the matrix acts as a protector until the water finds its way to the interphase. The filler silanization treatment is highly sensitive to hydrolysis and is damaged rapidly from that moment. Numerical simulations and surface observations confirmed that cracks appear to propagate in the neighbourhood of the interface but not directly within it.