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Journal articles on the topic 'Sequential Equation Modeling'
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Vatsala, Aghalaya S., Govinda Pageni, and V. Anthony Vijesh. "Analysis of Sequential Caputo Fractional Differential Equations versus Non-Sequential Caputo Fractional Differential Equations with Applications." Foundations 2, no. 4 (2022): 1129–42. http://dx.doi.org/10.3390/foundations2040074.
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It is known that, from a modeling point of view, fractional dynamic equations are more suitable compared to integer derivative models. In fact, a fractional dynamic equation is referred to as an equation with memory. To demonstrate that the fractional dynamic model is better than the corresponding integer model, we need to compute the solutions of the fractional differential equations and compare them with an integer model relative to the data available. In this work, we will illustrate that the linear nq-order sequential Caputo fractional differential equations, which are sequential of order q where q<1 with fractional initial conditions and/or boundary conditions, can be solved. The reason for choosing sequential fractional dynamic equations is that linear non-sequential Caputo fractional dynamic equations with constant coefficients cannot be solved in general. We used the Laplace transform method to solve sequential Caputo fractional initial value problems. We used fractional boundary conditions to compute Green’s function for sequential boundary value problems. In addition, the solution of the sequential dynamic equations yields the solution of the corresponding integer-order differential equations as a special case as q→1.
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Samimi, Rabeah. "Sequential Bayesian SEM for Task Technology Fit." international journal of advanced research in computer science 16, no. 1 (2025): 1–5. https://doi.org/10.26483/ijarcs.v16i1.7176.
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The Task Technology Fit (TTF) model is a key framework in information systems research that examines the relationship between user task needs and technological capabilities. Structural Equation Modeling (SEM) and Bayesian Structural Equation Modeling (BSEM) are effective tools for analyzing the TTF model. SEM reveals complex relationships between observed and latent variables, while BSEM is particularly useful for dynamic analyses, incorporating prior information and updating the model in sequential steps. This study compared the performance of SEM, BSEM, and sequential Bayesian SEM in analyzing the TTF model, using Normal and Beta prior distributions. The Bayesian Information Criterion (BIC) assessed model fit, and the Root Mean Square Error (RMSE) evaluated coefficient accuracy. The results indicate that sequential BSEM effectively analyzes models like TTF in sequential conditions. The Beta distribution, known for its stability, is more suitable for sequential Bayesian models. This study introduces a new analytical framework to aid future research in information systems and sequential Bayesian analysis.
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Hajibeygi, H., and H. A. A. Tchelepi. "Compositional Multiscale Finite-Volume Formulation." SPE Journal 19, no. 02 (2013): 316–26. http://dx.doi.org/10.2118/163664-pa.
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Summary The multiscale finite-volume (MSFV) method is extended to include compositional processes in heterogeneous porous media, which require accurate modeling of the mass transfer and associated phase behaviors. A sequential-implicit strategy is used to deal with the coupling of the flow (pressure) and transport (component overall concentration) problems. In this compositional formulation, the overall continuity equation is used to formulate the pressure equation. The resulting pressure equation conserves total mass by construction and depends weakly on the distributions of the phase compositions. The transport equations are expressed in terms of the overall composition; hence, phase-appearance and -disappearance effects do not appear explicitly in these expressions. The details of the MSFV strategy for the pressure equation are described. The only source of error in this MSFV framework is the localization assumption. No additional assumptions related to the complex physics are used. For 1D problems, the sequential strategy is validated against solutions obtained by a fully implicit simulator. The accuracy of the MSFV method for compositional simulations is then illustrated for different test cases.
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Yaseen, Muhammad, Sadia Mumtaz, Reny George, Azhar Hussain, and Hossam A. Nabwey. "Darbo’s Fixed-Point Theorem: Establishing Existence and Uniqueness Results for Hybrid Caputo–Hadamard Fractional Sequential Differential Equations." Fractal and Fractional 8, no. 6 (2024): 326. http://dx.doi.org/10.3390/fractalfract8060326.
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This work explores the existence and uniqueness criteria for the solution of hybrid Caputo–Hadamard fractional sequential differential equations (HCHFSDEs) by employing Darbo’s fixed-point theorem. Fractional differential equations play a pivotal role in modeling complex phenomena in various areas of science and engineering. The hybrid approach considered in this work combines the advantages of both the Caputo and Hadamard fractional derivatives, leading to a more comprehensive and versatile model for describing sequential processes. To address the problem of the existence and uniqueness of solutions for such hybrid fractional sequential differential equations, we turn to Darbo’s fixed-point theorem, a powerful mathematical tool that establishes the existence of fixed points for certain types of mappings. By appropriately transforming the differential equation into an equivalent fixed-point formulation, we can exploit the properties of Darbo’s theorem to analyze the solutions’ existence and uniqueness. The outcomes of this research expand the understanding of HCHFSDEs and contribute to the growing body of knowledge in fractional calculus and fixed-point theory. These findings are expected to have significant implications in various scientific and engineering applications, where sequential processes are prevalent, such as in physics, biology, finance, and control theory.
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A., Bagbe, Obilade T.O., and Olatayo T.O. "A Sequential Structural Equation Modeling of Patient Satisfaction and Compliance to Treatment." African Journal of Mathematics and Statistics Studies 5, no. 3 (2022): 87–98. http://dx.doi.org/10.52589/ajmss-ttzdf8ad.
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With the renewed concern about health care quality, there is a need for improved surveillance tools and focus on special age groups. While Structural Equation Model (SEM) is an important tool for surveillance, prediction and measuring intervention impact, the need to focus on reduction in bias necessitates the modification of SEM with Sequential Structural Equation Model (SSEM) to study some specific groups of health care delivery. This study formulated a model on patient satisfaction and compliance to treatment using SSEM of two stopping times with some exogenous, endogenous and mediating variables that generally influence health care delivery. SSEM modelling of Patient Satisfaction (PS) and Compliance to Treatment (CT) involves four latent variables (factors) and some manifest (dependent) variables. Statistical Packages for Social Sciences (SPSS) and Linear Structural Relationship (LISREL) 8.80 were adopted for the analysis. The study established that the fitted indices for the second stopping time meet the threshold rules in all cases when various fitting indices were used, and the fitted model result revealed an insignificant influence of PE on HS [R2 =0.012, F = 3.199, P >.05]. This indicates that PE contributed insignificantly to HS. Therefore, this study concluded that the procedure of sequential stopping time for hypothesised relationship showed that SSEM is useful in the drive towards quality patient health care and satisfaction. Hence, this confirmed that demographic variables are significant to patient experience.
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Gao, Zhenhao, Yukang Jin, Zhiqin Cai, and Haijun Peng. "Optimal control design for enhanced stability in the transition phase of tilt-rotor UAVs." Journal of Physics: Conference Series 2977, no. 1 (2025): 012012. https://doi.org/10.1088/1742-6596/2977/1/012012.
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Abstract This article completes the dynamic modeling and optimal flight control of tilt-rotor unmanned aerial vehicles during the transition phase through multi-body dynamics and optimization theory. We derive the first type of Lagrange dynamic model of a tilt-rotor unmanned aerial vehicle using the constraint equations of the Newton-Euler equation and virtual power principle combination system and solve the optimal control problem during the transition phase using a sequential quadratic programming algorithm. The numerical results indicate that this method can smoothly switch the flight mode of tilt or unmanned aerial vehicles.
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Choi, Hyunhee, and Yunji Lee. "Sequential relationship analysis of potential learning concepts: using structural equation modeling and HMM." Korean Data Analysis Society 25, no. 1 (2023): 417–29. http://dx.doi.org/10.37727/jkdas.2022.25.1.417.
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As people use non-face-to-face learning frequently, interest in adaptive learning for efficient learning is increasing. In order for students to easily learn, it is necessary to set up a learning path that considers students' learning outcomes. However, as everyone recognizes, learning pathways are not created based on learning logs, but rather rely on the curriculum that experienced teachers have used. However, the answer to the question “Can today's students learn efficiently with the existing curriculum system?” is perhaps not certain. In addition to studies whose subjects were creating a learning path, this study uses a structural equation model, Hidden Markov Model (HMM) and inductive reasoning to create a hierarchical learning path between latent factors at a higher level. Using the mathematics learning data of company D in Korea, a learning path of concepts rather than a learning path of subdivided concepts was created. It was confirmed that the subdivided concepts showed reliable observation values for the upper concepts and that the subdivided concepts conveyed the contents whose concepts were conveyed with validity.
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Sung, Jiwoo, and Eunjung Kim. "The Relationship between Covert Narcissism and Reactive Aggression: The Sequential Mediation Effect of Hostile Attribution Bias and Anger Rumination." Society for Cognitive Enhancement and Intervention 15, no. 4 (2024): 281–97. https://doi.org/10.21197/jcei.15.4.14.
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Objective: This study examined the sequential mediating effects of hostile attribution bias and anger rumination in the relationship between covert narcissism and reactive aggression. Methods: Self-report questionnaires assessing covert narcissism, hostile attribution bias, anger rumination, and reactive aggression were administered to 300 adults aged 19 years and above. Structural equation modeling was used to examine the sequential mediating effects of hostile attribution bias and anger rumination in the relationship between covert narcissis and reactive aggression. Results: The relationship between covert narcissism and reactive aggression was found to be partially mediated by hostile attribution bias and anger rumination, sequentially. In addition, the relationship was partially mediated by anger rumination. Finally, the studied relationship was not found to be mediated by hostile attribution bias. Conclusions: Our findings suggest the need to focus on hostile attribution bias and anger rumination as well as covert narcissism in therapeutic interventions for people with reactive aggression.
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Lima, Pedro M., Wolfram Erlhagen, Gennady Yu Kulikov, and Maria V. Kulikova. "Mathematical Modeling of Working Memory in the Presence of Random Disturbance using Neural Field Equations." EPJ Web of Conferences 248 (2021): 01021. http://dx.doi.org/10.1051/epjconf/202124801021.
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In this paper, we describe a neural field model which explains how a population of cortical neurons may encode in its firing pattern simultaneously the nature and time of sequential stimulus events. Moreover, we investigate how noise-induced perturbations may affect the coding process. This is obtained by means of a two-dimensional neural field equation, where one dimension represents the nature of the event (for example, the color of a light signal) and the other represents the moment when the signal has occurred. The additive noise is represented by a Q-Wiener process. Some numerical experiments reported are carried out using a computational algorithm for two-dimensional stochastic neural field equations.
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Velegol, Darrell, and Kyle J. M. Bishop. "Analyzing Sequential Betting with a Kelly-Inspired Convective-Diffusion Equation." Entropy 26, no. 7 (2024): 600. http://dx.doi.org/10.3390/e26070600.
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The purpose of this article is to analyze a sequence of independent bets by modeling it with a convective-diffusion equation (CDE). The approach follows the derivation of the Kelly Criterion (i.e., with a binomial distribution for the numbers of wins and losses in a sequence of bets) and reframes it as a CDE in the limit of many bets. The use of the CDE clarifies the role of steady growth (characterized by a velocity U) and random fluctuations (characterized by a diffusion coefficient D) to predict a probability distribution for the remaining bankroll as a function of time. Whereas the Kelly Criterion selects the investment fraction that maximizes the median bankroll (0.50 quantile), we show that the CDE formulation can readily find an optimum betting fraction f for any quantile. We also consider the effects of “ruin” using an absorbing boundary condition, which describes the termination of the betting sequence when the bankroll becomes too small. We show that the probability of ruin can be expressed by a dimensionless Péclet number characterizing the relative rates of convection and diffusion. Finally, the fractional Kelly heuristic is analyzed to show how it impacts returns and ruin. The reframing of the Kelly approach with the CDE opens new possibilities to use known results from the chemico-physical literature to address sequential betting problems.
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Zhao, Chun Ju, Chun Yu Wang, Yi Hong Zhou, and Hua Wei Zhou. "Modeling of Earthwork Dynamic Allocation for Rock-Fill Dams." Applied Mechanics and Materials 256-259 (December 2012): 2454–59. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2454.
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By analyzing feeding sources and material accepted fields involved in the earthwork allocation for rock-fill dam, a dynamic model of earthwork allocation is set up by incorporating dynamic programming. Dividing filling and excavation process into n steps, functions of allocation costs during each period is defined according to equation of state transitions, on the basis of which the optimization function is formed. Then the sequential method is employed to get the optimized solution. Finally a practical case is studied for application of this model.
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Lackner, Jeffrey M., and Jim Jaccard. "Testing the sequential model of pain processing in IBS: A structural equation modeling analysis." Gastroenterology 124, no. 4 (2003): A529. http://dx.doi.org/10.1016/s0016-5085(03)82679-3.
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Adedokun, Omolola A., Amy L. Childress, and Wilella D. Burgess. "Testing Conceptual Frameworks of Nonexperimental Program Evaluation Designs Using Structural Equation Modeling." American Journal of Evaluation 32, no. 4 (2011): 480–93. http://dx.doi.org/10.1177/1098214011401368.
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A theory-driven approach to evaluation (TDE) emphasizes the development and empirical testing of conceptual models to understand the processes and mechanisms through which programs achieve their intended goals. However, most reported applications of TDE are limited to large-scale experimental/quasi-experimental program evaluation designs. Very few (limited) examples of the relevance of TDE to nonexperimental program evaluation designs exist in literature. Using the method of structural equation modeling to analyze data from the Interns for Indiana (IfI) program, this study demonstrates how evaluation practitioners can test logical and sequential relationships among tiers of outcomes of nonexperimental programs, especially programs with limited datasets. The study also describes how the empirical feedback can be used to understand program dynamics and improve program implementation and evaluation.
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Maddu, Suryanarayana, Dominik Sturm, Christian L. Müller, and Ivo F. Sbalzarini. "Inverse Dirichlet weighting enables reliable training of physics informed neural networks." Machine Learning: Science and Technology 3, no. 1 (2022): 015026. http://dx.doi.org/10.1088/2632-2153/ac3712.
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Abstract We characterize and remedy a failure mode that may arise from multi-scale dynamics with scale imbalances during training of deep neural networks, such as physics informed neural networks (PINNs). PINNs are popular machine-learning templates that allow for seamless integration of physical equation models with data. Their training amounts to solving an optimization problem over a weighted sum of data-fidelity and equation-fidelity objectives. Conflicts between objectives can arise from scale imbalances, heteroscedasticity in the data, stiffness of the physical equation, or from catastrophic interference during sequential training. We explain the training pathology arising from this and propose a simple yet effective inverse Dirichlet weighting strategy to alleviate the issue. We compare with Sobolev training of neural networks, providing the baseline of analytically ε-optimal training. We demonstrate the effectiveness of inverse Dirichlet weighting in various applications, including a multi-scale model of active turbulence, where we show orders of magnitude improvement in accuracy and convergence over conventional PINN training. For inverse modeling using sequential training, we find that inverse Dirichlet weighting protects a PINN against catastrophic forgetting.
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Uppathampracha, Rachadatip, and Guoxin Liu. "Leading for Innovation: Self-Efficacy and Work Engagement as Sequential Mediation Relating Ethical Leadership and Innovative Work Behavior." Behavioral Sciences 12, no. 8 (2022): 266. http://dx.doi.org/10.3390/bs12080266.
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This research investigated the link between ethical leadership and innovative work behavior by examining the role of self-efficacy as a mediating factor and the sequential mediation of self-efficacy and work engagement. Using a survey approach, data were collected from 441 bank employees in the southern region of Thailand. The findings of the structural equation modeling (SEM) analysis revealed an association between ethical leadership and innovative work behavior and self-efficacy, respectively. Work engagement and innovative work behavior were both linked to self-efficacy. Work engagement was associated with innovative work behavior. According to the mediation analysis results, self-efficacy appeared to mediate the relationship between ethical leadership and innovative work behavior. Ultimately, it was shown that self-efficacy and work engagement were sequentially mediated by ethical leadership and innovative work behavior. This research provides insight into the understanding of the connection between ethical leadership and innovative work behavior. The key contributions of this research are the exploration-mediating function of self-efficacy and the sequential mediation roles of self-efficacy and work engagement.
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Altybay, Arshyn, Dauren Darkenbayev, and Nurbapa Mekebayev. "Parallel numerical simulation of the 2D acoustic wave equation." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 6 (2024): 6519. http://dx.doi.org/10.11591/ijece.v14i6.pp6519-6525.
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Mathematical simulation has significantly broadened with the advancement of parallel computing, particularly in its capacity to comprehend physical phenomena across extensive temporal and spatial dimensions. High-performance parallel computing finds extensive application across diverse domains of technology and science, including the realm of acoustics. This research investigates the numerical modeling and parallel processing of the two-dimensional acoustic wave equation in both uniform and non-uniform media. Our approach employs implicit difference schemes, with the cyclic reduction algorithm used to obtain an approximate solution. We then adapt the sequential algorithm for parallel execution on a graphics processing unit (GPU). Ultimately, our findings demonstrate the effectiveness of the parallel approach in yielding favorable results.
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CARRASSI, ALBERTO, and STÉPHANE VANNITSEM. "TREATMENT OF THE ERROR DUE TO UNRESOLVED SCALES IN SEQUENTIAL DATA ASSIMILATION." International Journal of Bifurcation and Chaos 21, no. 12 (2011): 3619–26. http://dx.doi.org/10.1142/s0218127411030775.
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In this paper, a method to account for model error due to unresolved scales in sequential data assimilation, is proposed. An equation for the model error covariance required in the extended Kalman filter update is derived along with an approximation suitable for application with large scale dynamics typical in environmental modeling. This approach is tested in the context of a low order chaotic dynamical system. The results show that the filter skill is significantly improved by implementing the proposed scheme for the treatment of the unresolved scales.
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Mostafa, Ahmed Mohammed Sayed. "Transformational leadership and restaurant employees customer-oriented behaviours." International Journal of Contemporary Hospitality Management 31, no. 3 (2019): 1166–82. http://dx.doi.org/10.1108/ijchm-02-2018-0123.
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PurposeThis study aims to propose and test a sequential mediation model in which transformational leadership engenders organizational social capital (OSC), which, in turn, enhances customer-oriented behaviours through work engagement.Design methodology approachThe study’s model was tested using a sample of 229 floor staff from 23 casual dining restaurants in the UK. Multiple source data were used where transformational leadership, OSC and work engagement were rated by employees, while employees’ customer-oriented behaviours were rated by supervisors.FindingsThe results of generalized multilevel structural equation modeling provided support for the proposed model and revealed that OSC and work engagement sequentially mediate the link between transformational leadership and customer-oriented behaviours.Originality valueThe study addresses calls for research on the link between leadership and customer-oriented behaviours and the potential mechanisms through which this relationship may take place.
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Chowdhury, Md Sohel, and Dae-seok Kang. "Modeling Corporate Environmental Responsibility Perceptions and Job-Seeking Intentions: Examining the Underlying Mechanism." Sustainability 13, no. 11 (2021): 6270. http://dx.doi.org/10.3390/su13116270.
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This study aims to propose and empirically test a research model to examine the relationship between prospective employees’ corporate environmental responsibility (CER) perceptions and their attraction to an organization based on social theories. This may be the first study to elucidate how CER perceptions can influence prospective employees’ job-seeking intentions by exploring the sequential mediating mechanism of organizational trust and job-seeking attitudes in a prehire context. Collecting data from a sample of 357 young prospective employees, the research hypotheses were tested using path analysis with AMOS (version 24), a structural equation modeling (SEM) program. The study results revealed direct association of CER perceptions and job-seeking attitudes with job-seeking intentions. Observably, the organizational trust could not predict job-seeking intentions. However, organizational trust and job-seeking attitudes together sequentially and partially mediated the direct effects of CER perceptions on job-seeking intentions. In line with the research findings, some notable theoretical contributions and practical implications for HR professionals have been discussed. The paper concludes by presenting some limitations and future research directions.
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Dr. Shazia Faiz, Um-e-Rubbab, and Um-e-Rubbab. "Impact of work-family conflict on deviant workplace behavior through stress and burnout A sequential mediation model." Journal of Business & Tourism 6, no. 1 (2021): 289–302. http://dx.doi.org/10.34260/jbt.v6i1.195.
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Even though growing importance has been given to work-family conflict and deviant workplace behavior, the link between employees’ feelings of work-family conflict and deviant workplace behavior is still missing. To explain this mechanism the study examines sequential mediation through stress and burnout.It’sa time lag study; data were collected through self- reported questionnaires. For a sample of 147nurses at government hospitals in Pakistan structural equation modeling was conducted.The results revealed strong support for the hypothesized relationships. The findings indicate work-family conflict indirectly but positively associated with deviant workplace behavior, sequentially mediated first through stress and then burnout.The study connects the dots, four main workplace attitudes as variables of action, reaction, outcome, and consequence,and figures out how this mechanism works and WFC leads to burnout.Limitations of the study along with the future research directions are also discussed.
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Sun, Yu Jie, Qing Chun Cui, Chun Ming Shi, and Suo Huai Zhang. "Finite Element Modeling of Quenching Process Coupled with Phase Transformation Effect." Advanced Materials Research 1061-1062 (December 2014): 522–25. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.522.
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This paper presents a sequential coupled thermo-metallurgical-mechanical finite element model for low alloy steel quenching which can be used to predict temperature history, evolution of microstructure, internal stress and distortion. The main efforts are to develop a series of subroutines which consider the latent heat released due to phase transformation and numerical implementation of a thermo-metallurgical-mechanical constitute equation. The effectiveness of developed computational method is confirmed by a immersion quenching. Simulations of immersion quenching demonstrate that transformation induce plasticity has significant effect of the evolution of residual stress, distortion and can not be neglected for low alloy steel during immersion quenching.
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Soliman, Eliand Rey C. "Business Sustainability in a Telecollection Agency: A Sequential Exploratory Analysis." International Multidisciplinary Journal of Research for Innovation, Sustainability and Excellece (IMJRISE) 1, no. 9 (2024): 244–47. https://doi.org/10.5281/zenodo.13827018.
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<strong>Abstract</strong> This study examines the factors contributing to the sustainability of a family-owned telecollection agency in a highly urbanized city in the Philippines. Using a Sequential Exploratory Design, the study combines qualitative narratives from the couple owners of the agency and quantitative data from 315 employees. Four key themes were identified: strategic vision, employee engagement, technological integration, and customer-centric culture. Structural Equation Modeling (SEM) was used to analyze the quantitative data, revealing significant relationships between these factors and business sustainability. The study provides insights into how family-owned businesses, particularly telecollection agencies, can sustain operations in dynamic market conditions. <strong>Keywords:</strong> Telecollection agency, Business sustainability, Employee engagement, Technological integration, Customer-centric culture, Sequential Exploratory Analysis
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Ali, Fouzia Hadi, Farhat Naz, and Aban Abid Qazi. "Assessing the Antecedents of Work Performance among Health Care Practitioners: Testing a Partial Least Squares Structural Equation Modeling Sequential Model." Annals of King Edward Medical University 24, no. 1 (2018): 665–71. http://dx.doi.org/10.21649/akemu.v24i1.2332.
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Work performance (WP) in the healthcare sector has hither to remained an underexplored area of research. Despite the fact that the implications of WP in the healthcare sector context are far more expensive for both doctors and hospitals, the predictors of WP among the healthcare practitioners appear to have contextual nuances. One of the significant factors and increasing vulnerabilities of the healthcare sector is work-life balance (WLB). However, it is futile to study WLB in isolation, the literature suggests that positive psychological capital (PPC) triggers WLB. Moreover, WLB also assists in enhancing vitality at work that in turn improves WP. Therefore, this study intends to examine the sequential mediation of WLB and vitality at work between the relationship of positive psychological capital and WP. Methods: A cross-sectional study was conducted at 80 hospitals in the province of Punjab. The stratified sampling design was employed to select a sample from the population. Out of 80, a total of 53 hospitals were consented to participate in the study. A structured questionnaire was administered to a sample of 1100 doctors with a response rate of 83%. The sequential model was tested by applying Partial Least Squares Structural Equation Modelling 3.2. Results: The sequential model proved significant with a partial mediation of work life balance and vitality at work between the relationship of positive psychological capital and work performance. Conclusion: The study provides recommendations to the policy makers to invest time and resources for nurturing the psychological and attitudinal behaviors of the healthcare practitioners that could ultimately enhance their WP.
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Lackner, Jeffrey M., James Jaccard, and Edward B. Blanchard. "Testing the sequential model of pain processing in irritable bowel syndrome: a structural equation modeling analysis." European Journal of Pain 9, no. 2 (2005): 207–18. http://dx.doi.org/10.1016/j.ejpain.2004.06.002.
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Semyatova, A. N., and E. G. Kenzhebek. "PARALLEL IMPLEMENTATION OF THE YANENKO METHOD FOR SOLVING THE HEAT EQUATION." Bulletin of Kazakh National Women's Teacher Training University, no. 2 (July 16, 2021): 127–35. http://dx.doi.org/10.52512/2306-5079-2021-86-2-127-135.
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In this article, we will consider the parallel implementation of the Yanenko algorithm for the two-dimensional heat equation, and the sweep method was used to numerically solve the heat equation. The implementation of the sequential program is carried out simply in two-part steps by the longitudinal-transverse run, however, parallelization of two fractional steps with an indefinite scheme is difficult due to the creation of inter-process communication of data. In the course of the study, a parallel data distribution with one-dimensional decompositions is shown in the application of the Yanenko method for calculating heat conductivity. The results of parallelization of this task using the 1D decomposition were obtained and acceleration and efficiency images were analyzed in order to evaluate the parallel program. Currently, modeling of processes by numerical solution of differential equations is widely used in every field of Science, the most common methods bring the differential problem to a system of linear algebraic equations, methods that solve such systems include various startup options. The emergence and development of computing systems using Multi-Core processors and graphics accelerators make the problem of startup parallelization relevant; the results of the study are used for teaching in research institutes and universities.
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Tosin O., Omole, Oyamakin Oluwafemi Samuel, and Baruwa Moshood Damilola. "Examining Perceptions and Awareness of the Third Wave of COVID-19 in Ibadan, Nigeria: A Household Survey." International Journal of Mathematics and Statistics Invention 12, no. 3 (2024): 53–62. http://dx.doi.org/10.35629/4767-12035362.
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This study investigates the awareness and perception of COVID-19 among the general population in Agbowo metropolis, Oyo State, Nigeria. A questionnaire was administered to households in the Agbowo area, Ibadan north, and data were analyzed using R software. Frequencies and percentages were used for categorical variables, and chi-square tests were conducted to examine the relationship between perception and practices to prevent COVID-19. Confirmatory factor analysis and sequential equation modeling were also used to determine the perception and preventive measures observed by Agbowo residents. The results show that 46% of respondents had heard of the first wave of COVID-19, 28% had heard of the second wave, and 26% had heard of the third wave. The chi-square test revealed a significant association between sex and knowledge of the respondents, with males being more aware of the first and second waves, and females being more aware of the third wave. The confirmatory factor analysis revealed that "residents are permanently migrated to their base" and "borrowed money to cover living expenses" had a significant impact on the perception and preventive measures of COVID-19 in Agbowo, Ibadan north. Sequential equation modeling showed that education and grade level were significant factors in determining the perception and observation of COVID-19 preventive measures. Overall, the study provides valuable insights into the awareness and perception of COVID-19 among the general population in Agbowo, Ibadan north, and highlights the importance of education and socioeconomic factors in determining preventive behaviors.
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Gunduz, Murat, and Hesham Ahmed Elsherbeny. "Critical assessment of construction contract administration using fuzzy structural equation modeling." Engineering, Construction and Architectural Management 27, no. 6 (2020): 1233–55. http://dx.doi.org/10.1108/ecam-05-2019-0246.
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PurposeThis paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.Design/methodology/approachThe research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.FindingsThe data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.Originality/valueThe contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.
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Moradi, Shirin, Johan Alexander Huisman, Harry Vereecken, and Holger Class. "Comparing Different Coupling and Modeling Strategies in Hydromechanical Models for Slope Stability Assessment." Water 16, no. 2 (2024): 312. http://dx.doi.org/10.3390/w16020312.
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The dynamic interaction between subsurface flow and soil mechanics is often simplified in the stability assessment of variably saturated landslide-prone hillslopes. The aim of this study is to analyze the impact of conventional simplifications in coupling and modeling strategies on stability assessment of such hillslopes in response to precipitation using the local factor of safety (LFS) concept. More specifically, it investigates (1) the impact of neglecting poroelasticity, (2) transitioning from full coupling between hydrological and mechanical models to sequential coupling, and (3) reducing the two-phase flow system to a one-phase flow system (Richards’ equation). Two rainfall scenarios, with the same total amount of rainfall but two different relatively high (4 mm h−1) and low (1 mm h−1) intensities are considered. The simulation results of the simplified approaches are compared to a comprehensive, fully coupled poroelastic hydromechanical model with a two-phase flow system. It was found that the most significant difference from the comprehensive model occurs in areas experiencing the most transient changes due to rainfall infiltration in all three simplified models. Among these simplifications, the transformation of the two-phase flow system to a one-phase flow system showed the most pronounced impact on the simulated local factor of safety (LFS), with a maximum increase of +21.5% observed at the end of the high-intensity rainfall event. Conversely, using a rigid soil without poroelasticity or employing a sequential coupling approach with no iteration between hydromechanical parameters has a relatively minor effect on the simulated LFS, resulting in maximum increases of +2.0% and +1.9%, respectively. In summary, all three simplified models yield LFS results that are reasonably consistent with the comprehensive poroelastic fully coupled model with two-phase flow, but simulations are more computationally efficient when utilizing a rigid porous media and one-phase flow based on Richards’ equation.
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Park, Joo-Young, and Min-Chul Kang. "The Effect of Positive Psychological Capital on Job Performance of Office Workers in Large Corporations: Focusing on the Sequential Mediating Effect of Grit and Job Engagement." Jounral of Educational Therapist 15, no. 3 (2023): 425–47. http://dx.doi.org/10.35185/kjet.15.3.425.
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The purpose of this study is to investigate whether the positive psychological capital of office workers at a large corporation affects job performance and to determine whether there is a sequential mediating effect of grit and job engagement in the relationship between positive psychological capital and job performance. To achieve this purpose, an online survey was conducted among 321 office workers employed in large corporations in South Korea. Structural equation modeling analysis was employed to validate the relationships between each variable. The findings of the analysis revealed a statistically significant positive correlation between positive psychological capital and job performance among the participants. Furthermore, both grit and job engagement exhibited significant mediating effects in the relationship between positive psychological capital and job performance. Notably, grit and job engagement demonstrated significant sequential mediating effects on the influence of positive psychological capital on job performance.
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Park, Joo-Young, and Min-Chul Kang. "The Effect of Positive Psychological Capital on Job Performance of Office Workers in Large Corporations: Focusing on the Sequential Mediating Effect of Grit and Job Engagement." Jounral of Educational Therapist 15, no. 3 (2023): 425–47. http://dx.doi.org/10.35185/kjet.15.3.8.
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The purpose of this study is to investigate whether the positive psychological capital of office workers at a large corporation affects job performance and to determine whether there is a sequential mediating effect of grit and job engagement in the relationship between positive psychological capital and job performance. To achieve this purpose, an online survey was conducted among 321 office workers employed in large corporations in South Korea. Structural equation modeling analysis was employed to validate the relationships between each variable. The findings of the analysis revealed a statistically significant positive correlation between positive psychological capital and job performance among the participants. Furthermore, both grit and job engagement exhibited significant mediating effects in the relationship between positive psychological capital and job performance. Notably, grit and job engagement demonstrated significant sequential mediating effects on the influence of positive psychological capital on job performance.
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Gao, Xinxiang. "Does structural social capital lead to proactive green innovation? a three-part serial mediation model." PLOS ONE 19, no. 4 (2024): e0301286. http://dx.doi.org/10.1371/journal.pone.0301286.
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Enhancing green innovation for business sustainability represents a pressing global challenge. In the context of the manufacturing industry, the relationship between proactive green innovation (PGI) and structural social capital (SSC) remains a profoundly under-researched area. Drawing upon the theories of social capital and dynamic capability (DC), this study investigated the relationship between SSC and PGI within manufacturing enterprises via three individual and sequential mediating factors, namely cognitive social capital (CSC), relational social capital (RSC), and DC. Adopting a cross-sectional quantitative design, this study collected survey data from 485 manufacturing sector employees in China using purposive sampling. Structural equation modeling analysis of the data revealed no significant direct impact of SSC on PGI, but a strong indirect impact through the sequential mediating influences of CSC, RSC, and DC. The findings suggests that PGI within manufacturing enterprises is not wholly shaped by SSC; rather, firm-level dynamic capabilities, characterized by a sequential mechanism, plays a crucial role in achieving PGI within these enterprises. This paper offers both theoretical and practical contributions and provides recommendations for future research based on its limitations.
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Ye, Yijiao, Yijing Lyu, and Yanzhen He. "Servant leadership and proactive customer service performance." International Journal of Contemporary Hospitality Management 31, no. 3 (2019): 1330–47. http://dx.doi.org/10.1108/ijchm-03-2018-0180.
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Purpose The purpose of this study is to investigate the influence of servant leadership on hospitality employees’ proactive customer service performance (PCSP) by focusing on the sequential mediating roles of harmonious passion and customer orientation and the moderating role of others’ approval of contingent self-esteem. Design/methodology/approach This study uses structural equation modeling with the four-wave data collected from eight Chinese hotels. Findings This study finds that servant leadership can promote hospitality employees’ PCSP by sequentially boosting their harmonious passion for work and customer orientation. Moreover, others’ approval of contingent self-esteem strengthens servant leadership’s effect on harmonious passion for work. Originality/value First, this study extends the servant leadership research by extending its outcome to hospitality employees’ PCSP. Second, this study enriches the understanding of the mediating mechanism between servant leadership and PCSP. Third, this study advances the research on servant leadership by identifying the moderating effect of employees’ others’ approval of contingent self-esteem between servant leadership and harmonious passion.
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Kim, Jeong Sik, and Hyun Jung Park. "How Service Employees’ Mindfulness Links to Task Performance through Psychological Resilience, Deep Acting, and Customer-Oriented Behavior." Behavioral Sciences 13, no. 8 (2023): 657. http://dx.doi.org/10.3390/bs13080657.
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This study investigates the specific pathways through which mindfulness influences task performance, focusing on the sequential mediating roles of psychological resilience, customer-oriented behavior, and deep acting. Structural equation modeling is used to analyze data collected from 359 employees in the service industry in Korea. The results confirm that mindfulness has a significant direct and indirect relationship with task performance. Improved resilience through mindfulness can be the basis for fostering customer-oriented behavior and deep acting, which sequentially enhance task performance. This study provides a comprehensive understanding of how mindfulness leads to improvements in task performance and highlights the significance of mindfulness for both customers and service employees. It also expands the existing knowledge of mindfulness by empirically integrating resilience, customer-oriented behavior, and deep acting, which have not been extensively studied in mindfulness research. The findings have practical implications from a managerial perspective, emphasizing the importance of mindfulness resources in the workplace.
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Heidari, M., S. H. Hejazi, and S. M. Farouq Ali. "Steam-Assisted Gravity-Drainage Performance With Temperature-Dependent Properties—A Semianalytical Approach." SPE Journal 22, no. 03 (2016): 902–11. http://dx.doi.org/10.2118/175036-pa.
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Summary Steam-assisted gravity drainage (SAGD) is one of the successful in-situ thermal-recovery methods for oil-sands production. In this paper, we provide a simple semianalytical model that can accurately analyze an SAGD project with variable properties. In particular, we investigate the effect of temperature-dependent properties such as thermal conductivity, heat capacity, and rock density on SAGD performance. The proposed model sequentially solves the transient nonlinear heat-transfer equation coupled with the continuity equation with Kirchhoff's transformation and the heat integral method (HIM). A criterion for timestep selection is defined on the basis of the Courant and Péclet numbers to guarantee the stability of the sequential technique. The results illustrate that the temperature-dependent physical properties affect temperature distributions ahead of steam chamber which consequently have a significant impact on the cumulative oil production and oil-production rate. Moreover, the results show that the temperature profile ahead of the steam chamber changes with time and space, and a 2D transient assumption for SAGD modeling is necessary. The semianalytical model runs in a small fraction of numerical-simulator runtime, yet it provides reasonable results. Thus, it has the potential to be used as a tool for quick SAGD evaluations.
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Tian, Huixia, Zuzheng Li, Zhaopeng Song, Hairong Han, and Xiaoqin Cheng. "Structural Equation Modeling of Phosphorus Transformations in Soils of Larix principis-rupprechtii Mayr. Plantations." Forests 14, no. 9 (2023): 1811. http://dx.doi.org/10.3390/f14091811.
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Understanding the soil phosphorus (P) cycle is a prerequisite for the sustainable management of land resources. The sequential-extraction method was used to determine P fractions in 513 soils of Larix principis-rupprechtii Mayr. plantations. With these data, this study applied structural equation modeling to evaluate the interaction between various soil P fractions. Quantitative analysis was conducted on the importance of different soil P pools and P transformation pathways on soil P availability in a larch plantation. Our study showed that soluble inorganic P (Pi) was directly positively affected by labile Pi, labile organic P (Po), secondary mineral P, and primary mineral P, and was directly negatively affected by moderately labile Po. Soluble Pi was not directly affected by occluded P. The primary mineral P (β = 0.40) had the greatest total impact on soluble Pi, followed by secondary mineral P (β = 0.32) and labile P (labile Pi and Po, β = 0.31), and then occluded P (β = 0.11), with the total impact of moderately labile Po being relatively small (β = −0.06). In summary, this study reveals the important roles of soluble Pi in P transformations and in determining overall P availability in soils, as well as the extensive effects of weathering on soil P dynamics in L. principis-rupprechtii plantations.
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Luangpaiboon, Phatchanok, Chandej Charoenwiriyakul, and Siravit Koolrojanaput. "Hybrid Computing and Decision Technologies in Improving Accuracy of Structural Equation Model for Sustainable Environmentally Friendly Product Management." International Journal of Environmental Science and Development 11, no. 9 (2020): 432–37. http://dx.doi.org/10.18178/ijesd.2020.11.9.1286.
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Main purpose of this research is to study influential variables of green innovation strategy, corporate social responsibility, government policy, transformation leadership including human resource development on the success level in managing sustainable environmentally friendly products of industrial plants. The sequential procedures on statistical techniques are proposed with the survey data on both quantitative and qualitative research elements. Confirmatory factor and path analysis including the structural equation modeling are mixed to identify the causal relationship between variables and the dependent variables. In this article, two metaheuristic algorithms namely sequential evolutionary elements based on variable neighborhood search and particle swarm optimization algorithms are proposed to enhance the sustainable environmentally friendly product management model. The results show that all performance measures of the particle swarm optimization algorithm are better, but not statistically significant when compared. Evolutionary elements from Metaheuristic approaches are the powerful tool for generating the management model and aiding the industries for decision making. The qualitative research was from the multistage sampling and in-depth interviews to finally provide guidelines for managing environmentally friendly products. From the numerical results all of proposed variables affected the success at a high level of opinions. The results of this research will be efficiently used to promote sustainable environmentally friendly products for the manufacturing in Thailand.
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Wang, Miaomiao, Jie Zhang, Jie He, and Yanzhao Bi. "Paradoxical leadership and employee innovation: Organization-based self-esteem and harmonious passion as sequential mediators." Social Behavior and Personality: an international journal 50, no. 7 (2022): 1–10. http://dx.doi.org/10.2224/sbp.11634.
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We applied self-concept theory and self-determination theory and proposed that the relationship between paradoxical leadership and employee innovation would be sequentially mediated by organizationbased self-esteem and harmonious passion. We tested our hypotheses by surveying 374 full-time employees in China and adopting structural equation modeling. The results indicate that paradoxical leadership was positively associated with employees' organization-based self-esteem, harmonious passion, and innovation. Moreover, the positive effect of paradoxical leadership on employees' innovation behavior was sequentially mediated by organization-based self-esteem and harmonious passion. Our findings advance understanding of the mechanism underlying the relationship of paradoxical leadership with employees' innovation behavior, and provide a meaningful extension of the leadership literature. We discuss implications for theory and practice.
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L. GINDAP, REY ALMER, NEIL RYAN B. ADO, and PERLA C. PADRO. "16. Engagement To Online Learning, Mental Well-Being, Self-Regulated Learning, And Academic Performance: A Path Analysis." International Multidisciplinary Research Journal 4, no. 3 (2022): 138–48. http://dx.doi.org/10.54476/ioer-imrj/44714.
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The recent data disclosed that more than 50 percent of the countries worldwide and most of the ASEAN countries scored below average in the Science subjects. Furthermore, due to the pandemic, online or e-learning is the most effective way to continue the teaching and learning process. This is a quantitative study that used a descriptive-correlational design with route analysis to handle data. This study investigated the association between four interrelated variables: engagement to online learning (ETOL), self-regulated learning (SRL), mental well-being (MWB), and academic performance (AP) in science subjects. Stratified random sampling was used to choose grade 12 STEM students from schools in Davao del Norte, Philippines. Data gathered were treated using Pearson-r, mean, structural equation modelling, and multiple regression analysis. Findings revealed that only SRL turned out to be a statistically significant predictor of AP in Science. More so, as to the best fit model, both SRL and MWB have a direct influence on AP, but ETOL has a large indirect effect on AP through SRL and MWB. Thus, students should exercise greater self-regulation. Educators must highlight students’ self-regulated learning skills in online learning. Keywords: Path analysis, Sequential Equation Modeling, engagement to online learning, self-regulated learning, mental well-being, academic performance
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Kamboj, Shampy. "Applying uses and gratifications theory to understand customer participation in social media brand communities." Asia Pacific Journal of Marketing and Logistics 32, no. 1 (2019): 205–31. http://dx.doi.org/10.1108/apjml-11-2017-0289.
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Purpose The purpose of this paper is to investigate how various gratifications obtained in the social media context affect customer participation, and its sequential effect on brand trust, brand commitment and word of mouth (WOM) in social media brand communities. Design/methodology/approach The data were collected from 352 respondents who used social media using a survey method. The data were assessed using AMOS with structural equation modeling. Findings The findings depicted that among all gratifications obtained in the social media context, information seeking, incentive and brand likeability strongly affect customer participation, which sequentially affect brand trust, commitment and WOM in social media brand communities. In the context of social media brand communities, brand trust partially mediates the relationship between customer participation and its two outcome variables (brand commitment and WOM). Originality/value The present paper contributes that theory of uses and gratifications has particular significance and supposed to be provided further importance in the field of social media. It also presents a vivid and rich understanding of why customers use social media and participate in social media brand communities.
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Liang, Tsang-Lang, Hsueh-Feng Chang, Ming-Hsiang Ko, and Chih-Wei Lin. "Transformational leadership and employee voices in the hospitality industry." International Journal of Contemporary Hospitality Management 29, no. 1 (2017): 374–92. http://dx.doi.org/10.1108/ijchm-07-2015-0364.
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Purpose This study aims to explore the relationship between transformational leadership and employee voice behavior and the role of relational identification and work engagement as mediators in the same. Design/methodology/approach This study uses structural equation modeling to analyze the data from a questionnaire survey of 251 Taiwanese hospitality industry employees. Findings The findings demonstrate that transformational leadership has significant relationships with relational identification, work engagement and employee voice behavior and that relational identification and work engagement sequentially mediate between transformational leadership and employee voice behavior. Practical implications The results of this study provide insights into the intervening mechanisms linking leaders’ behavior with employees’ voices, while also highlighting the potential importance of relational identification in organizations, especially concerning the enhancement of employees’ work engagement and voice. Originality/value The findings reveal the mechanisms by which supervisors’ transformational leadership encourages employees to voice their suggestions, providing empirical evidence of the sequential mediation of relational identification and work engagement. The results help clarify the psychological process by which leaders influence their followers.
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Kwon, EunHee, and HyeYoung Hong. "The Influence of Covert Narcissism on the Interpersonal Compertence: The Mediating Effects of Social Support and Self-Compassion." Korean Association For Learner-Centered Curriculum And Instruction 25, no. 7 (2025): 263–78. https://doi.org/10.22251/jlcci.2025.25.7.263.
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Objectives The purpose of this study is to examine the mediating effect of social support and self-compassion, as well as the sequential double mediation effect, in the relationship between implicit narcissism and interpersonal competence among college students. Methods This study was conducted with university students aged 18 to 29 years, both male and female. Data collection was carried out using an online self-report survey, and participants were provided with information about the research purpose, response instructions, and confidentiality of personal information. Only respondents who agreed to these terms were allowed to continue with the survey. To this end, a survey was conducted with a total of 313 college students using the Implicit Narcissism Scale, Interpersonal Competence Scale, Social Support Scale, and Self-Compassion Scale. Data analysis and structural equation modeling were performed. Results First, all variables showed significant correlations. Implicit narcissism had a significant negative correlation with social support, self-compassion, and interpersonal competence, while social support and self-compassion showed significant positive correlations with interpersonal competence. Second, social support and self-compassion showed significant mediating effects in the relationship between implicit narcissism and interpersonal competence. Third, social support and self-compassion sequentially mediated the relationship between implicit narcissism and interpersonal competence, demonstrating a significant sequential double mediation effect. Conclusions The results of this study confirm that social support, an external factor, and self-compassion, an internal factor, significantly influence individuals with implicit narcissism in terms of their ability to demonstrate interpersonal competence.
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Møyner, Olav, and Hamdi A. Tchelepi. "A Mass-Conservative Sequential Implicit Multiscale Method for Isothermal Equation-of-State Compositional Problems." SPE Journal 23, no. 06 (2018): 2376–93. http://dx.doi.org/10.2118/182679-pa.
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Summary Compositional simulation is necessary for a wide variety of reservoir-simulation applications, and it is especially valuable for accurate modeling of near-miscible gas injection for enhanced oil recovery. Because the nonlinear behavior of gas injection is sensitive to the resolution of the simulation grid used, it is important to use a fine grid to accurately resolve the compositional and saturation gradients. Compositional simulation of highly detailed reservoir models entails the use of small timesteps and large, poorly conditioned linear systems. The high computational cost of solving such systems renders field-scale simulations practically unfeasible. The coupling of the flow and transport to the phase-equilibrium calculations adds to the challenge. This is especially the case for near-miscible gas injection, in which the phase state and the phase compositions are very strong functions of space and time. We present a multiscale solver for compositional displacements with three-phase fluid flow. The thermodynamic phase behavior is described by general nonlinear cubic equations of state (EOS). The fully implicit (FI) natural-variables formulation is used as the basis to derive a sequential implicit (SI) solution strategy, whereby the pressure field is decoupled from the multicomponent transport. The SI scheme is mass conservative without the need to iterate between the pressure and transport equations during the timestep. This conservation property allows the errors caused by fixing the total-velocity field between the pressure- and transport-updating steps to be represented as a volume error. The method computes approximate pressure solutions—within a prescribed residual tolerance—that yield conservative fluxes on the computational grid of interest (fine, coarse, or intermediate). We use basis functions computed using restricted smoothing to allow for generally unstructured grids. The new method is verified against existing research and commercial compositional simulators using a simple conceptual test case and also using more-complex cases represented on both unstructured and corner-point grids with strong heterogeneity, faults, and pinched-out and eroded cells. The SI method and the implementation described here represent the first demonstrated multiscale method applicable to general compositional problems with complexity relevant for industrial-reservoir simulation.
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Jiang, Yiru, Bity Salwana Alias, and Bo Li. "Generative AI tools and career burnout: The chain mediating effect of technology stress perception on turnover intention among young tech talents." Edelweiss Applied Science and Technology 9, no. 6 (2025): 1513–29. https://doi.org/10.55214/25768484.v9i6.8184.
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This study investigates the chain mediating effect of technology stress perception and career burnout on the relationship between generative AI tools usage and turnover intention among young tech talents. A cross-sectional survey design was employed with 683 technology professionals aged 21-35, using structural equation modeling to analyze the proposed sequential pathway. Generative AI tools usage significantly influences turnover intention through a sequential pathway: AI tools usage positively affects technology stress perception (β = .36, p < .001), which contributes to career burnout (β = .53, p < .001), ultimately increasing turnover intention (β = .49, p < .001). This chain mediation effect was significant (indirect effect = .094, 95% CI [.071, .124]), explaining 67.1% of the total effect. The findings extend technostress theory to generative AI contexts and establish that technology self-efficacy and organizational support function as protective factors by mitigating technology stress and burnout, respectively. Practical implications: organizations implementing AI technologies should adopt strategic approaches focusing on reducing technology stress and preventing burnout to maintain workforce stability during technological transitions.
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Halim, Umar, and Nurul Hidayat. "The Sequential Levels of the Digital Divide in the Educational Domain Among Indonesian University Students." INJECT (Interdisciplinary Journal of Communication) 10, no. 1 (2025): 179–208. https://doi.org/10.18326/inject.v10i1.4427.
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This research examines the sequential relationships between digital access, digital literacy, digital usage, and educational outcomes in the context of the digital divide in higher education in Indonesia. The study utilizes data from 457 undergraduate students across six urban and rural universities, employing a quantitative survey methodology and applying Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the causal pathways. Findings indicate that access, as assessed by device type and duration, significantly improves digital literacy, which subsequently influences educational technology usage patterns and learning outcomes. Communication and content creation skills significantly impact academic performance and satisfaction. The results substantiate a multilevel framework of digital inequality and emphasize the significance of equitable digital engagement beyond simple access. This study provides insights for digital literacy initiatives and educational technology interventions designed to mitigate outcome-based disparities across various geographic and institutional contexts.
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Yu, Zhiyuan, Tiffany Luong, Selenne Banuelos, et al. "Leveraging mathematical modeling framework to guide regimen strategy for phage therapy." PLOS Complex Systems 1, no. 3 (2024): e0000015. http://dx.doi.org/10.1371/journal.pcsy.0000015.
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Bacteriophage (phage) cocktail therapy has been relied upon more and more to treat antibiotic-resistant infections. Understanding of the complex kinetics between phages, target bacteria, and the emergence of phage resistance remain hurdles to successful clinical outcomes. Building upon previous mathematical concepts, we develop biologically-motivated nonlinear ordinary differential equation models to explore single, cocktail, and sequential phage treatment modalities. While the optimal pairwise phage treatment strategy was the double simultaneous administration of two highly potent and asymmetrically binding phage strains, it appears unable to prevent the evolution of resistance. This treatment regimen did have a greater lysis efficiency, promoted higher phage population sizes, reduced bacterial density the most, and suppressed the evolution of resistance the longest compared to all other treatments strategies tested. Conversely, the combination of phages with polar potencies allows the more efficiently replicating phages to monopolize susceptible host cells, thereby quickly negating the intended compounding effect of cocktails. Together, we demonstrate that a biologically-motivated modeling-based framework can be leveraged to quantify the effects of each phage’s properties to more precisely predict treatment responses.
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Cui, Yanmei, Yong Hong, Naveed Ahmad Khan, and Muhammad Sulaiman. "Application of Soft Computing Paradigm to Large Deformation Analysis of Cantilever Beam under Point Load." Complexity 2021 (November 29, 2021): 1–19. http://dx.doi.org/10.1155/2021/2182693.
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In this paper, a mathematical model for large deformation of a cantilever beam subjected to tip-concentrated load is presented. The model is governed by nonlinear differential equations. Large deformation of a cantilever beam has number of applications is structural engineering. Since finding an exact solution to such nonlinear models is difficult task, this paper focuses on developing soft computing technique based on artificial neural networks (ANNs), generalized normal distribution optimization (GNDO) algorithm, and sequential quadratic programming (SQP). The strength of ANN modeling for governing the equation of cantilever beam is exploited by the global search ability of GNDO and further explored by the local search mechanism of SQP. Design scheme is evaluated for different cases depending on variations in dimensionless end-point load ρ . Furthermore, to validate the effectiveness and convergence of algorithm proposed technique, the results of the differential transformation method (DTM) and exact solutions are compared. The statistical analysis of performance indicators in terms of mean, median, and standard deviations further establishes the worth of ANN-GNDO-SQP algorithm.
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Melecio, A. Sy Jr., and P. Gempes Gloria. "Structural Equation Model on Supply Chain Performance of the Manufacturing Sector: An Explanatory Sequential Mixed Methods Study." JOURNAL OF ECONOMICS, FINANCE AND MANAGEMENT STUDIES 06, no. 07 (2023): 3028–57. https://doi.org/10.5281/zenodo.8112979.
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Supply Chain Performance (SCP) is affected by factors including supply chain structure, market conditions, among others. SCP will define profitability, growth, and sustainability, but is varied in level among different industries. The primary purpose of this explanatory sequential mixed-methods study was to determine the best fit model of Supply Chain Performance (SCP) in the manufacturing sector of Region XI in the Philippines. The survey was administered to 332 manufacturing companies across the region employing stratified random sampling. After analyzing the quantitative data through structural equation modeling, us17 interviewees selected from the 332 respondents, were subjected to an in-depth interview, and focus group discussion for validation of the results. The data obtained from the interview were analyzed through thematic analysis. The quantitative results revealed that out of the five exogenous variables tested for the best fit model on SCP, only three came out as having direct influence, to wit: buyer-supplier relationship (BSR), integrated information system (IIS) as the best predictor, and logistics performance (LP). The modest direct influence of LP on SCP was strengthened with its indirect influence through IIS. Thematic analysis of the qualitative data unveiled the essential themes generally confirming the best fit model and its particulars. Connecting-merging-confirmation surfaced as the nature of data integration.
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Glebov, A. O., and S. V. Karpushkin. "A method of designing equipment for heat processing of polymer workpieces." Journal of Physics: Conference Series 2094, no. 2 (2021): 022016. http://dx.doi.org/10.1088/1742-6596/2094/2/022016.
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Abstract The paper describes a method of designing heating equipment that maintains a predetermined temperature field. The method consists in sequential solution of two problems. At the first stage, the heat generation field was calculated using the stationary heat conduction equation. At the second stage, parametric optimization of the temperature field was performed with reference to the power and configuration limits of the heaters. To test this method, the problem of maintaining a predetermined non-uniform temperature field was solved. A practical example of the application of the method for designing a uniform heating plate used in vulcanizing presses was given. To assess the efficiency of the plate, the results of modeling the heat processing of a workpiece from a rubber mixture were presented.
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Reich, John W., Jason T. Newsom, and Alex J. Zautra. "Health Downturns and Predictors of Suicidal Ideation: An Application of the Baumeister Model." Suicide and Life-Threatening Behavior 26, no. 3 (1996): 282–91. http://dx.doi.org/10.1111/j.1943-278x.1996.tb00613.x.
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Suicidal thoughts and attempts have been studied from a number of perspectives, but only recently has an attempt been made to incorporate many different psychological perspectives into one framework. Baumeister (1990) has integrated personality and social psychological perspectives into one sequential model, moving from instigating events to a final stage of suicidal thoughts. Employing a sample of older adult subjects undergoing the stresses of a recent health downturn, this study tested a four‐stage model of suicidal ideation based on many of the components proposed by Baumeister. Structural equation modeling achieved a good fit to the data. Results are discussed in terms of the importance of including life events, particularly poor health, and cognitive variables such as confusions in thinking, in understanding suicidal ideation.
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Lho, T. J., and S. J. Na. "A Study on Mathematical Modeling of Parameter Optimization in Gas Tungsten Arc (GTA) Welding of Thin Pipes." Journal of Engineering for Industry 117, no. 1 (1995): 78–83. http://dx.doi.org/10.1115/1.2803282.
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In order to estimate the optimal process parameter in circumferential GTA welding of thin pipes, the objective was chosen to maintain a uniform bead width over the full circumferential joint, while the constraints consist of the capacity limit of power source and related equipments. The analytical solution of heat conduction equation with a Gaussian heat source was adopted for calculating the temperature field in circumferential welding of the pipe workpiece. The linear complementary problem (LCP) with Lemke’s pivoting algorithm and Powell’s unconstrained search method with the sequential unconstrained minimization technique (SUMT) have been applied to evaluate the optimal welding current and welding velocity for a required bead width, respectively. The experimental results of the bead formation showed that the developed mathematical model can be effectively applied for obtaining the optimal welding condition in circumferential welding of thin pipes with a small diameter.