Modeling Perspective Research Articles

Resolving sustainable development conflicts caused by vinyl leakage accidents in the USA: From the perspective of graph model under fuzzy preferences with self-confidence

On February 3, 2023, a railroad accident led to the release and combustion of 115,580 gallons of vinyl chloride monomer in East Palestine, Ohio, USA. The large leakage and long-time combustion of vinyl chloride monomer harmed the stability of local sustainable ecosystems and the health of residents, as the burning produced deadly toxins, triggering dissatisfaction from residents and environmental protection organizations. With the COVID-19 pandemic still unfolding globally, decision makers (DMs) in vinyl chloride leakage accidents must consider the existing environmental health uncertainty, potentially leading to uncertainty in their preference cognitive. Thus, this paper proposes a novel fuzzy preference with a self-confidence structure of the graph model for conflict resolution (GMCR) to resolve the sustainable development conflicts caused by the vinyl chloride leakage accident in Ohio. Fully considering the uncertainty of option choice by DMs and the different levels of confidence in DMs’ preference selection, four different fuzzy stability definitions of self-confidence are defined in GMCR. The analysis results suggest the following: (1) During conflicts, the US Norfolk Southern Corp should assume corporate responsibility by setting up a health monitoring system for residents in Ohio; the company should pay for the medical examinations and related care expenses for residents within the scope of the vinyl chloride leakage accident. (2) The negotiation of all stakeholders in conflicts can promote reconciliation. Finally, the analysis process and results of this study can provide guidance to government departments for properly handling major accidents and appeasing affected residents.

COMPARATIVE STUDY ON CULTURAL INTELLIGENCE LEVEL AMONG EMPLOYEES WITH DISABILITIES IN RUSSIA AND CHINA

Background. As inclusive education and social participatory parity continue to develop, more and more professional-trained people with disabilities are seeking opportunities for integration into the workplace. However, they face various of challenges in the current work environment. From the perspective of the cultural model of disability, employees with disabilities vary from their able-bodied colleagues in terms of cognition or behavioral patterns. As a result, newer concept such as the disability cultural competence has emerged. In order to adapt and function well in diverse and inclusive work teams, the cultural intelligence of employees with disabilities has become vital yet to be deeply explored in Russia. Purpose. This paper attempts to reveal the cultural intelligence level of Russian employees with disabilities and to compare cultural intelligence between employees with disabilities from Russia and China. Materials and methods. Cultural intelligence has been measured through the Russia and Chinese adaptation Cultural Intelligence Scale among 25 Russian and 23 Chinese employees with disabilities. Then, SPSS 26.0 was used to carry out the descriptive analysis, normality test and mean comparison analysis. Results. Both Russian and Chinese employees' cultural intelligence are at average level. And Russian employees with disabilities have higher cultural intelligence level than the Chinese ones. Besides, this study underlined that there is no significant difference in cultural intelligence by ethnic, gender or type of disability while there is significant difference in cultural intelligence depending on the participants' age.

Current condition, geological structure and prospects of oil and gas resources in the Aral sea

The article presents the results of the analysis of the current state of study of the Aral Sea region by geological exploration works, and in more detail – of the Aral Sea aquatory. An attempt has been made to correlate new geological data based on the works of Uzbek geologists and materials of seismic surveys of the Kazakh part of the Aral Sea, since the West Aral oil and gas condensate field has been discovered in the Uzbek part of the Aral Sea water area, the productivity of which is associated with the Middle-Upper Jurassic deposits. Taking into account the history of geological development of the territory and formation of oil and gas bearing zones, it is necessary to carry out geological exploration works in the perspective of the unified model of the Aral Sea basin. On the basis of the discussed model of geological structure the prospects of oil and gas potential of separate structural-tectonic zones were predicted, and a series of recommendations were issued.

Why and how the interpersonal stressors influence nurses' intention to stay and job satisfaction: the JD-R model perspective

PurposeInterpersonal stressors are a major source of stress for East Asian workers. It is still a major management issue in hospital management. This study focuses on clarifying the stress response processes of interpersonal stressors. The moderating effects of gratitude and employee assistance programs were considered.Design/methodology/approachQuestionnaires were distributed to hospital workers in a regional hospital in the city; a total of 288 valid and matched surveys were collected.FindingsThe results showed interpersonal stressors negatively affected job satisfaction, and interpersonal resources positively affected intention to stay and job satisfaction. In addition, gratitude had a moderating effect on the relationship between interpersonal stressors and emotional burnout, and awareness of employee assistant programs had a moderating effect on the relationship between interpersonal resources and work engagement.Originality/valueThis study seeks to elucidate the working conditions of nurses and may serve as a reference for hospitals in implementing or drafting labor conditions and policies for stress management.

A blueprint for success? Exploring business models of additive manufacturing ventures

Additive Manufacturing (AM) was expected to be the next great technological revolution, yet the predicted market growth has fallen short by 40%. Using a proprietary, cross-sectional data set of 350 ventures in the AM field founded between 2000 and 2017, this study analyses AM companies from a business model perspective. Specifically, we explore which value delivery and value capture mechanisms are decisive for AM venture success, measured via their operational and ownership state. We reveal that targeting the B2B market and selling via partner networks significantly increases firm survival likelihood. Further, applying a recurring revenue model increases the likelihood of an IPO. Our main contributions are two-fold: first, our research complements the business model literature by evaluating value delivery and capture in the AM entrepreneurial space, revealing that customer segments, sales channels, and revenue models are key to venture success. Second, we provide business model design guidelines to entrepreneurs as well venture capitalists in the AM field.

Evaluation of the Program for Strengthening the Profile of Pancasila Students from the CIPP Model Perspective

This research aims to determine the results of evaluating the context, input, process, output of the project program to strengthen the profile of Pancasila students at Nasima Middle School, Semarang. Nasima Junior High School in the implementation of P5 (Pancasila Student Profile Strengthening Project) is not escorted even though the driving school should be escorted by the government. The escort is not sustainable, and only given material. Furthermore, everything related to implementation is determined by the school. Because Basically, the independent curriculum is very depends on the characteristics of the education unit according to different characters. Well, the curriculum at that time accommodates that character. Including in determining the project of strengthening the student profile of Pancasila. In this research, the method used is descriptive qualitative. Using interview, observation and documentation data collection techniques. The data obtained was analyzed by data reduction, data presentation and drawing conclusions. Test the validity of the data using triangulation of sources and methods. The results of the research show that: 1) The results of the evaluation of the program context for the project to strengthen the profile of Pancasila students have been running, it can be seen from how three projects were prepared for one year, 2) The results of the evaluation of the program input for the project to strengthen the profile of Pancasila students have been running, it can be seen from the competence of the educators , 3) The results of the process evaluation regarding obstacles in the implementation of the project program to strengthen the profile of Pancasila students are already underway, which can be seen from the implementation of three projects, 4) The results of the product evaluation regarding the continuation of the project program to strengthen the profile of Pancasila students are already underway with a graphic increase in the results of student achievement. It is recommended that the program be continued with some improvements in terms of budget, activity management, and long-term oriented products. And for the government, the driving schools should also be escorted in the implementation of P5.

The relationship between inert thinking and ChatGPT dependence: An I-PACE model perspective

The relationship between inert thinking and ChatGPT dependence: An I-PACE model perspective

Selective Extraction of Valuable and Critical Metals in Cassiterite Concentrate by Dry Chlorination, Part I: Thermodynamic and Modelling Perspective.

The chlorination of oxides of major concern in cassiterite concentrate with various chlorinating agents is investigated in light of their thermodynamic feasibilities to extract and recover their valuable metal components. Mechanisms responsible for the processes and their Gibbs free energy changes as a function of temperature to selectively separate and/or recover the metal(s) of interest and unwanted ones as their metallic chlorides are identified. Attention is given to gaseous (Cl2 and Cl2 + CO mixture) and solid (CaCl2 and MgCl2) chlorine sources, from which Cl2 + CO shows no reaction selectivity for any of the oxides but a feasible metal chloride formation for all. Chlorine gas (Cl2), on the other hand, could selectively form chlorides with metals of +2 oxidation state in their oxides, leaving those of high oxidation state unreacted. MgCl2, unlike CaCl2, is found capable of producing calcium, ferrous, and stannic chloride from their metallic oxides with enhanced reaction tendencies in the presence of silicon dioxide (SiO2). An overall study of the thermodynamic feasibility of all chlorine sources looked at alongside operational and environmental viabilities suitably suggests MgCl2 for a selective extraction of the valuable metal components in a cassiterite concentrate, in which case, moderate temperatures seem promising.

Carbonation modelling of hardened cementitious materials considering pore structure characteristics: A review

Carbonation of cementitious materials is one of the most important reasons leading to the deterioration of steel-reinforced concrete structures. After years of research, different models have been developed to investigate and predict the carbonation process. This review paper provides a comprehensive overview of carbonation modelling approaches at different scales considering pore structure characteristics. As a typical porous material, the microscopic characteristics of hardened cementitious materials will greatly affect the carbonation rate, and the complex physicochemical carbonation process will alter the pore structure, which will, in turn, affect the carbonation process. Currently, the importance of considering the evolved pore structure and its influence on concrete durability modelling has also gained more and more attention. Therefore, this review paper first introduces the fundamental mechanism of carbonation process in cementitious materials and the existing models for carbonation modelling. By dividing these models into macro-, meso- and micro-scales, this review summarises the modelling approaches, assumptions, pore structure consideration approaches and current limitations of the empirical, kinetic, three-phase, neural network, voxel-based lattice, pore network, and thermodynamic models. The different features of carbonation modelling and ways to consider the effect of pore structure characteristics in those models are comprehensively compared. This review also discusses the future perspectives of different models, especially the pore structure-dependent analysis approaches, to better link the microscopic and macroscopic properties and improve the applicability of carbonation modelling at different scales.

Willingness to Pay for Cattle Insurance in Nepal: A Double-Hurdle Model Perspective

Since the adoption of the Crop and Livestock Insurance Directives in 2013, the adoption of livestock insurance has gained popularity in Nepal. In the eight years since implementation, adoption rates have remained low, even with 80% government premium subsidies. This study uses a double-hurdle model for quantitative analysis and focuses on the determinants of willingness to pay (WTP) for cattle insurance. The research identifies significant factors influencing insurance adoption decision, including positive impacts from farmer’s age, education, livestock loss history, awareness of insurance, dairy farm income, number of cattle, and loan access. However, male gender, extensive cattle rearing experience, and larger households negatively affect willingness to insure. A number of factors affect premium determination, including age, size of household, livestock loss, off-farm income, number of cattle, and loan accessibility; on the other hand, factors that have a negative impact on premium levels include breed type, marital status, and revenue from dairy farms. According to the findings, the annual WTP for cattle insurance among dairy farmers varies from $48 to $71 (NRs. 6315-9341), with an average of $58 (NRs. 7631). Interestingly, the majority of farmers demonstrate their commitment to risk management by accepting premiums equal to 5% of the value of the cattle. The research contributes to understanding livestock insurance premiums in developing countries, specifically in Nepal, and suggests a scope for extending insurance programs, while also noting a gap in awareness among dairy farmers regarding government subsidy programs.

Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization

The efficacy of surrogate-assisted multi-objective evolutionary algorithms (SAMOEAs) in addressing expensive multi-objective optimization problems (MOPs) is contingent upon the modeling techniques and model-based infill sampling strategies. In addressing this pivotal aspect, this paper introduces a pioneering methodology known as batch subproblem coevolution with Gaussian process-driven linear models (BSCo-GPLM). Specifically, from a modeling perspective, BSCo-GPLM decomposes the MOP into single-objective subproblems. Following this decomposition, for each subproblem, a Gaussian process-driven linear model (GPLM) is collaboratively trained to prevent overfitting and improve prediction accuracy. Regarding infill sampling, collaborative optimization of all GPLMs yields optimal candidate solutions for each subproblem, organized into coherent clusters. Within each cluster, only the solution with the highest utility is evaluated. Relying on the heightened prediction accuracy of the GPLM model and an efficient batch sampling strategy, BSCo-GPLM exhibits clear superiority over state-of-the-art SAMOEAs in effectively addressing expensive MOPs. The source code of BSCo-GPLM is available at https://github.com/CIAM-Group/EvolutionaryAlgorithm_Codes/tree/main/BSCo-GPLM.

Subjective Well-Being of Chief Executive Officers and Its Impact on Stock Market Volatility During the COVID-19 Pandemic in Poland: Agent-Based Model Perspective

This study aimed to connect the behavioral corporate finance perspective (micro level) with complexity theory via agent-based modeling to analyze the impact of selected psychological factors of chief executive officers (CEOs) on stock market volatility (macro level). Specifically, we wanted to explore whether Polish CEOs’ subjective well-being (SWB) influenced their managerial decisions during the COVID-19 pandemic and how it might be related to the volatility of stock prices during this critical period in Poland. Our study was based on a survey of Polish CEOs who managed companies listed on the Warsaw Stock Exchange. In particular, 255 CEOs completed the Satisfaction with Life Scale, the Positive and Negative Affect Scale, and a business survey on the impact of the COVID-19 pandemic on company management. Using the results of this survey, we built an agent-based model to investigate how CEOs’ decision-making, stemming from their SWB levels, influences the perception of prices by individual traders and, in turn, how it is translated into aggregate stock market volatility. The results indicate the pathways through which the microscopic-level SWB of CEOs influences market price formation at a macroscopic level. The findings obtained from our model may shed new light on the rational expectations theory applied to stock market volatility during the financial crisis.

Varieties of central banking: the Nordic Model beyond a fiscal-centric approach

ABSTRACT Since policymakers and scholars coined the term in the 1930s, the Nordic Model has often been considered to denote a homogeneous political entity in which the constituent countries are ostensibly interchangeable. As a result, seldom attention has been afforded to what fundamentally differentiates Denmark, Finland, Norway, and Sweden. By going beyond traditional ‘fiscal-centric’ accounts of the Nordic model, and instead focusing on the role of central banks and monetary policy, we show that each country bares far less similarities than has often been assumed in the literature. We trace this heterogeneity back to variegated responses to the 1970s crises of Fordist capitalism and draw on growth model theory to explain this divergent trajectory. We show how these differences shaped how each country responded to the Global Financial Crisis and the COVID-19 pandemic, where a variegated array of monetary measures was employed to uphold their own distinct growth model. By accounting for the role of central banks within the Nordic Model, we propose that it is better understood as a series of models, drawing attention to the function of monetary policy within the growth models perspective in the political economy literature.

Weighting non-IID batches for out-of-distribution detection

A standard network pretrained on in-distribution (ID) samples could make high-confidence predictions on out-of-distribution (OOD) samples, leaving the possibility of failing to distinguish ID and OOD samples in the test phase. To address this over-confidence issue, the existing methods improve the OOD sensitivity from modeling perspectives, i.e., retraining it by modifying training processes or objective functions. In contrast, this paper proposes a simple but effective method, namely Weighted Non-IID Batching (WNB), by adjusting batch weights. WNB builds on a key observation: increasing the batch size can improve the OOD detection performance. This is because a smaller batch size may make its batch samples more likely to be treated as non-IID from the assumed ID, i.e., associated with an OOD. This causes a network to provide high-confidence predictions for all samples from the OOD. Accordingly, WNB applies a weight function to weight each batch according to the discrepancy between batch samples and the entire training ID dataset. Specifically, the weight function is derived by minimizing the generalization error bound. It ensures that the weight function assigns larger weights to batches with smaller discrepancies and makes a trade-off between ID classification and OOD detection performance. Experimental results show that incorporating WNB into state-of-the-art OOD detection methods can further improve their performance.

A novel framework for Indigenous eye health care in New Zealand: Ngā Mata o te Ariki

ABSTRACT Clinical relevance Development of an Indigenous eye health framework could offer the opportunity for eye health professionals to enhance engagement with Indigenous populations. Background Indigenous populations globally experience disproportionately poorer eye health outcomes than non-Indigenous peoples. Incorporating Māori perspectives of eye care and pre-existing Indigenous models of health offers potential to enhance Māori experience and engagement with eye health services. This study seeks to develop and refine a practical framework for eye health care that incorporates nine established Indigenous health principles. Methods Qualitative methodology, guided by Indigenous Māori research principles, was used to evaluate interviews with five leading senior Māori academics surrounding the ongoing development and refinement of a Kaupapa Māori (Māori worldview centric) framework for eye care in Aotearoa New Zealand, created following Māori health consumer consultation. Interviews were semi-structured and analysed using reflexive thematic analysis. Results Seven key themes arose in relation to the development of a Kaupapa Māori framework for eye care in Aotearoa New Zealand: 1) vision is critical to Māori well-being, 2) cultural safety is important, 3) Māori health beliefs must be upheld, 4) achieving pae ora (healthy futures) is important, 5) key concepts and focus of the framework must be clear, 6) pūrākau (traditional Indigenous stories) are valuable resources in developing health frameworks and 7) embedding Matariki (fundamental Māori) principles is valuable. Conclusions Using Kaupapa Māori principles allowed development and refinement of a framework that encourages clinicians to consider Indigenous health principles when engaging with Māori patients who seek eye care. Application of this framework may contribute to enhancing cultural safety and responsiveness of eye care for Māori.

Exploration of Digital Transformation Paths of Different Enterprises Based on Federal Learning from the Perspective of Business Model

Exploration of Digital Transformation Paths of Different Enterprises Based on Federal Learning from the Perspective of Business Model

Strong and ductile low carbon low alloy steels with multiphase bimodal microstructure

Restrained by the strength-ductility tradeoff, it is still challenging to develop advanced high-strength low carbon low alloy (LCLA) steels with superior strength-ductility combinations and cost-effectiveness to satisfy industry demands. In this study, an innovative 2-cyclic quenching and partitioning (Q&P) heat treatment was developed to produce a novel LCLA steel with the optimized microstructure, in which a bimodal grain size distribution across various constituent phases was achieved. Tensile test results show that the 2-cyclic Q&P LCLA steel exhibits excellent mechanical properties with a uniform elongation, close to 18 %, nearly triple that of conventional Q&P LCLA steel while maintaining a tensile strength above 1 GPa. To reveal the underlying mechanisms of such exceptional strength-elongation synergy, the detailed deformation behaviors of the developed LCLA steel were characterized while the evolution of hetero-deformation-induced (HDI) stress and effective stress was investigated from the perspective of the dislocation model. It is indicated that, with increasing strain, the heterogeneous structures promote strong strain partitioning which leads to extensive geometrically necessary dislocations (GNDs) pile-ups at hetero-interface and persistently strong HDI strengthening effect, and produce the coordinated deformation among constituent phases to realize dislocation forest strengthening, collectively contributing to the enhanced work hardening capacity and hence overcoming the strength-ductility tradeoff. This study provides a new processing strategy for developing strong and ductile LCLA steels.

Demystifying youth’s play intention of multiplayer online mobile game: an UTAUT3 model perspective

Purpose The primary objective of this study is to identify and examine the effects of the various determinants of the unified theory of acceptance and use of technology (UTAUT3) model on multiplayer online mobile games (MPOMGs) adoption and actual play behaviour of young gamers. Design/methodology/approach The research used an online survey method to collect data from a sample of 685 Indian youth. The participants were selected using a convenience sampling procedure. Structural equation modelling technique was used to evaluate the sufficiency and structural relationship between the various dimensions of the UTAUT3 model in the context of MPOMG. Findings The findings of the study indicate that the dimensions of “Price Value” and “Facilitating Condition” did not show a significant relationship with the play intention of MPOMG among youth. However, the newly introduced dimension, “Personal Innovativeness,” was found to have a significant impact on predicting the play intention of MPOMG. Research limitations/implications This study was limited to young Indian gamers. Therefore, future study is needed to analyse across cultures and regions. Moreover, this study contributes to the existing scholarly literature on the implementation of a newly established technological framework, namely, UTAUT3, in the context of MPOMG research. Hence, this study offers a fresh viewpoint for comprehending the youth’s inclination towards MPOMG. Additionally, various determinants the affects the MPOMG adoption and play behaviour is highly relevant for industry managers and game developers to create MPOMG, that are more likely to attract and retain users, leading to increased levels of engagement and success. Originality/value UTAUT3 is a novel framework to determine the technology adoption in a different context. UTAUT3 model is still unexplored and adopted in MPOMG play intention research. Therefore, this study provides a novel perspective to understand the youth’s intention to play the MPOMG in the newly developed technology adoption model perspective.

Identifying roles of formulas in inconsistency under Priest's minimally inconsistent logic of paradox

It has been increasingly recognized that identifying roles of formulas of a knowledge base in the inconsistency of that base can help us better look inside the inconsistency. However, there are few approaches to identifying such roles of formulas from a perspective of models in some paraconsistent logic, one of typical tools used to characterize inconsistency in semantics. In this paper, we characterize the role of each formula in the inconsistency arising in a knowledge base from informational as well as causal aspects in the framework of Priest's minimally inconsistent logic of paradox. At first, we identify the causal responsibility of a formula for the inconsistency based on the counterfactual dependence of the inconsistency on the formula under some contingency in semantics. Then we incorporate the change on semantic information in the framework of causal responsibility to develop the informational responsibility of a formula for the inconsistency to capture the contribution made by the formula for the inconsistent information. This incorporation makes the informational responsibility interpretable from the point of view of causality, and capable of catching the role of a formula in inconsistent information concisely. In addition, we propose notions of naive and quasi naive responsibilities as two auxiliaries to describe special relations between inconsistency and formulas in semantic sense. Some intuitive and interesting properties of the two kinds of responsibilities are also discussed.

REFLECTIONS ON THE LEGAL FEATURES OF COLLABORATIONIST ACTIVITY: THEORY AND PRACTICE IN TERMS OF THE RUSSIAN OCCUPATION OF UKRAINIAN TERRITORY

Background: In this article, the co-authors contribute to the development of Ukraine's criminal policy on the legal evaluation of collaboration with occupying forces, necessitated by the ongoing Russian Federation occupation of Ukrainian territory. The study, to some extent, continues the scientific discourse that was actualised after the addition of Article 111-1 to the Criminal Code of Ukraine. Its objective is to delineate the generic legal features of collaborationist activity, the responsibility for which was introduced in the Criminal Code of Ukraine in March 2022. By critically analysing the common features of collaboration with the occupier currently reflected in theory and practice, the authors develop a comprehensive vision of collaboration as a phenomenon distinct from high treason and related concepts. Methods: The research methodology employs a blend of general scientific methods of cognition (induction, deduction, analysis, synthesis, abstraction) and historical, linguistic and systemstructural research methods. The strategy focuses on identifying the features of collaboration with occupying forces, selecting the most typical and essential traits that differentiate it from related phenomena. Structurally, the article consists of two parts. The first part explores existing definitions of collaboration in literature and identifies the five most frequently mentioned features. The second part involves a detailed analysis of each feature to determine its suitability for characterising collaboration and distinguishing it from related concepts. At the same time, the features set forth in the current criminal law of Ukraine (lex lata) are compared against the perspective of the ideal model (lex ferenda). Results and conclusions: The phenomenon of collaboration with occupying forces has long been the subject of research by historians, while legal scholars traditionally examine it through the lens of high treason. However, establishing collaborationism as an independent crime in criminal law, along with high treason, requires its conceptualisation. This study demonstrates the impossibility of automatically transposing an array of effective historical research into the legal field. Criminal law requires clarity, unambiguity, and logic. At the same time, de lege lata, Ukrainian criminal law provides for a casuistic and eclectic set of features of collaborationist activity. Therefore, this article analyses each of the features that are commonly used to characterise collaborationism, aiming to improve the normative framework and formulate a clear concept that deserves to exist independently alongside the concept of high treason.