Model Theory Research Articles

Dynamic interaction in sustainable energy: Learning from South Sumatra in transforming conflict into collaboration to accelerate energy mix targets

Abstract Energy transition is an alternative solution that emerged as an effort to achieve zero net emissions. The countries that signed the Paris Agreement are expected to reach their targets by 2030. Indonesia targets this agreement by performing the energy mix set at 25% nationally. Many provinces have difficulties achieving its implementation due to conflicts between related stakeholders, including industry. However, some provinces have shown promising transition changes with accelerated target achievement. This research aims to identify how the government of South Sumatra can reach beyond the National Target by turning the conflict into a collaboration between government and industry. The collaboration impacts accelerating the achievement of the energy mix target. A multi-layered approach was used to analyze the dynamics of the energy transition by demonstrating the energy transition process in Indonesia using Actor Interaction analysis, Dilemma analysis, and System Analysis. Therefore, the bottom-up approach chosen, systematically uncovering actor interactions within and across systems. Interviews were carried out for data collection. The results of the interviews were identified until a series of methods emerged that were used to identify the collaboration that occurred. The analysis found that local governments encounter dilemmatic situations to balance a smooth energy transition process and ensure stable socioeconomic conditions. The system dynamic simulation has proven to be a vital addition to Drama Theory and Graph Model for Conflict Resolution, offering a temporal perspective that is fundamental for the decision-making process that concerns the ever-changing environmental situation.

Spin-polarized DFT investigations of novel KVSb half-Heusler compound for spintronic and thermodynamic applications

In this study we have investigated the robust phase stability, elasto-mechanical, thermophysical and magnetic response of KVSb half Heusler compound by implementing density functional theory (DFT) models in WIEN2k simulation package. The dynamic phase stability is computed in phase type I, II & III phase configurations by optimising their energy. It is observed that given compound is more stable in spin-polarized state of phase type-III. To explore the electronic band structure, we apply the generalised gradient approximation along with Hubbard potential U. The electronic band profile of the Heusler alloy display a half-metallic nature. Moreover, the calculated second-order elastic parameters divulge the brittle nature. To understand the thermodynamical and thermoelectric stability of the alloy at various temperature and pressures ranges Quasi-Harmonic Debye model is executed successfully. The computed value of magnetic moment (MM) found in good agreement with Slater-Pauling rule. Our findings confirms that the predicted half Heusler alloy can be used in various spintronics and thermoelectric applications.

An adaptive cycle resilience perspective to understand the regime shifts of social-ecological system interactions over the past two millennia in the Tarim River Basin

Socio-ecological systems (SESs) in arid regions have experienced multiple transformations throughout history due to human activities and natural forces. However, few studies have used the resilience cycle model to explain the resilience status and determinants of SESs over the past two millennia. This study proposes the adaptive cycle resilience (ACR) perspective to investigate regime shifts of socio-ecological system interactions in the Tarim River Basin (TRB) over the past two millennia. An ACR framework combining a piecewise linear regression model (PLR), ACR theory, and physical resilience models has been built to assess and quantify socio-ecological system resilience. Key indicators such as climate variability, settlement numbers, war frequency, glacier accumulation, and oasis area changes are identified and quantified to evaluate SESs adaptability and transformability. Glacier accumulation serves as a proxy for long-term climate change, while oasis area changes reflect the direct impact of human activities and environmental feedback on ecosystem productivity. Population and war indicators provide insights into social system stability and the impact of conflicts on SESs dynamics. The findings reveal that the 7th century and 1850s are critical points of regime shifts in the ACR. 200s BC-350s AD and 700s AD-900s AD are in the forward loop (r-K) period of the ACR. 350s AD-700s AD and 900s AD-1850s AD are the adaptive resilience backward loop (Ω-α) phase. Assessing the historical socio-ecological system resilience and identifying key transition points can inform proactive measures to mitigate potential regime shifts. Combining historical data with resilience theory provides a deep understanding of the ACR of SESs and their driving factors. This enriches the theoretical understanding of SESs and offers a robust case study for future resilience assessments and scenario analyses in arid regions.

Research on channel modeling technology of visible light communication system based on the ray tracing method

Abstract Visible Light Communication (VLC) is a new mode that combines lighting and communication. Because it can meet the needs of large capacity and ultra-high transmission rate, effective analysis of indoor visible light channel characteristics can better provide VLC systems. We provide a reference basis for the design, and VLC technology using Light Emitting Diode (LED) as the light source has become one of the research hotspots in the field of wireless communications. To solve the problems of existing indoor visible light channel modeling methods such as being ideal, high complexity, or poor in versatility, this paper researches indoor visible light communication channel modeling and related theories and methods, using rays with strong scene adaptability. Based on the tracking method, starting from the need to reduce computational complexity and improve tracking accuracy, a channel modeling method for indoor visible light communication is designed. We propose a high-precision indoor visible light communication channel modeling method that combines central ray tubes and bidirectional ray tracing. We use the forward ray tracing method to model indoor visible light communication channels. The simulation experimental results show that the channel modeling method proposed in this article can effectively improve modeling efficiency.

A dynamic Pre-Darcy model and its application in the numerical simulation of enhanced geothermal system

Numerical simulations of Enhanced Geothermal Systems (EGS) currently primarily depend on the Darcy model, neglecting pre-Darcy flow in the matrix rock and the impact of temperature on pre-Darcy flow. This paper introduces a dynamic pre-Darcy model that accounts for the influence of temperature, deriving from the capillary flow model and boundary layer theory. This model is able to consider how temperature variations affect both the thickness of the boundary layer and the yield stress of the fluid. The reliability of the dynamic pre-Darcy model is validated through experimental data, and comparison with both static pre-Darcy and Darcy models demonstrates its superior ability to accurately capture the influence of temperature on pre-Darcy flow. Subsequently, a thermal-hydraulic simulation methodology incorporating the dynamic pre-Darcy model is developed to characterize mass and heat transfer between the matrix and fracture based on the framework of the embedded discrete fracture model (EDFM), which is further validated with analytical and numerical solutions. In the simulation of single-fracture case, we explore the impact of the dynamic pre-Darcy flow on mass and heat transfer between the matrix and fracture. Field-scale numerical simulations for EGS further demonstrate that the Darcy model tends to overestimate both production temperature and total extracted energy. In contrast, the static pre-Darcy model generally underestimates these metrics. The dynamic pre-Darcy model, however, provides more accurate and reasonable predictions.

Creep behavior of epoxy adhesives subjected to different hygrothermal aging conditions—nanoindentation creep tests and theoretical study

Epoxy adhesives have been extensively used in the aerospace, marine, and automotive industries to join different components. A major concern with the use of epoxy adhesives is their viscoelastic behavior in aggressive service conditions such as hygrothermal ageing. Surveying the creep behavior of adhesives is of paramount importance to increase long-term durability. In this work, nanoindentation creep tests were performed on an epoxy adhesive exposed to distilled water and seawater at 55 °C for various ageing durations (0, 14, 38, 160, 251, 383, 582, and 800 h). The hardness, modulus, creep displacement, and creep rate sensitivity were quantitatively investigated to elucidate the effect of hygrothermal ageing. All the mechanical properties were found to decrease with the ageing time. The adhesive subjected to distilled water showed lower creep resistance due to higher absorption of moisture. In addition, linear relationships were observed between different mechanical properties and moisture contents irrespective of ageing conditions. Subsequently, the generalized Kelvin model was applied to investigate the creep compliance and the dependence of different deformation types (elastic, viscoelastic, and viscous deformation) on the ageing time and ageing conditions. The motion of molecular structures was also discussed. Finally, a modified creep model was proposed based on the generalized Kelvin model and continuum damage theories, which established the relationship between the dry and aged adhesive via the moisture-dependent degradation factors. The predicted creep displacements coincided well with the experimental results for the case, demonstrating the reliability of the creep model.

Determinants of Digitalization in Unorganized Localized Neighborhood Retail Outlets in India

The increase in digital disruptions and changing preferences of different stakeholders has led to digital adoption in all hierarchies of business ecosystem. This study focused on the identification of the determinants of digitalization in unorganized small, localized retail outlets (Kirana stores) of an emerging economy. A theoretical model was constructed with certain modifications based on technology adoption models such as Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to study the impact on business performance in general and as an effect of pandemic. A survey of 285 Unorganized Localized Retail Outlets Stores from different regions of India was used to validate this theoretical model, and structural equation modeling was then further employed. The findings underscore that cost, compatibility, perceived ease of use, and perceived usefulness significantly affect the intention to digitalize. By addressing the post-pandemic impact of digitalization within an unorganized sector in an emerging economy, this study adds to the scant literature that exists in this context.

Pengunaan NARS Power Players Sebagai Virtual Brand Ambassadors Untuk Memengaruhi Konsumen

Virtual brand ambassadors have become a new type of brand spokesperson with the advent of Artificial Intelligence (AI). NARS Cosmetics, a pioneering cosmetics company, has introduced their own virtual brand ambassadors known as NARS Power Players. However, the existing literature has not yet answered whether the attributes of virtual entities can shape consumer response. The novelty of this research lies in its focus on NARS Cosmetics' virtual brand ambassadors, the NARS Power Players, which are a new phenomenon in the field of brand representation. While virtual brand ambassadors have emerged with AI technology, there is a gap in the existing literature regarding how the attributes of these virtual entities specifically impact consumer attitudes. This study addresses this gap by investigating the influence of credibility, attractiveness, congruence, and human-likeness of NARS Power Players on consumer attitudes. Additionally, the study incorporates several relevant theories, including Stimulus-Response Theory, Source Credibility Model, Source Attractiveness Model, Match-up Hypothesis, and Uncanny Valley Theory, to provide a theoretical framework for understanding the impact of virtual brand ambassadors. The use of quantitative methodology and the specific focus on NARS Power Players contribute to the novelty of this research, offering insights that can further enhance our understanding of consumer responses to virtual brand representatives.This study used quantitative methodology by distributing online questionnaires to 112 respondents. The results showed that the credibility, congruence, and human-likeness of virtual brand ambassadors had a positive and significant influence on consumer attitudes. However, attractiveness did not have a significant influence on consumer attitudes. Researchers can further explore this topic by conducting investigative qualitative research on consumer perceptions and comparative analysis with human endorsers and non-human endorsers.

Analysis of changes in shale mechanical properties and fault instability activation caused by drilling fluid invasion into formations

During the drilling process, the issue of drilling fluid loss can lead to changes in the mechanical properties of the formation, thereby altering the stress environment of nearby faults. In order to assess the risk of fault activation during drilling operations, the Ordos M area shale was selected as the research object. Mechanical experiments were conducted on rock samples immersed in water-based drilling fluid with a pressure differential of 2 MPa and a temperature of 50 °C. The changes in the mechanical properties of the shale before and after immersion in drilling fluid were determined. Based on the experimental results, combined with the spring combination model and fault activation theory, a quantitative evaluation of fault activation risk was conducted. The findings revealed that the shale in this region has a high clay content, demonstrating a certain level of water sensitivity. The presence of micro-pores and micro-fractures is well-developed, increasing the interaction probability between drilling fluids and clay minerals. After immersion in drilling fluid, there was a varied decline in all mechanical strengths of the shale. The elastic modulus is positively correlated with the shear strength and Coulomb stress of the fault plane. The Poisson’s ratio is positively correlated with the shear strength and negatively correlated with the Coulomb stress. The greater the internal friction and cohesion, the higher the shear strength of the fault plane, and the larger the friction coefficient, the smaller the Coulomb stress, resulting in a more stable fault.

Exploring the Relationship Between Avatar Ego Types and Communication: A Comparative Study of South Korea and the United States Based on the Expectation Confirmation Model.

This research explores the significance of avatar communication in the virtual world, where individuals can create new identities and establish relationships beyond real-world limitations. Avatar users engage in virtual interactions to fulfill their desires, enjoy entertainment, and experience surrogate satisfaction. This study integrates the Expectation Confirmation Model (ECM) and Impression Management Theory (IMT) to investigate the impact of various avatar ego types on communication satisfaction and continued intention to use. Two surveys (n = 600) were administered using South Korean and American samples. The results suggest a significant relationship between expectancy confirmation and perceived usefulness. Specifically, high perceived usefulness leads to increased communication satisfaction. Also, when pre-experience expectancy confirmation is low, it positively affects communication satisfaction. In addition, the study highlights differences between Western and Eastern cultural contexts in avatar ego type's expression. This study contributes to the understanding of virtual interactions, offering theoretical insights through the integration of ECM and IMT. Theoretical and practical implications are discussed.

Incorporating verbal and nonverbal aspects to enhance a model of patient communication in cancer care: A grounded theory study.

High-quality communication is essential to patient-centered care. Existing communication models and research tends to focus on what is said verbally with little attention to nonverbal aspects of communication. In sensitive and emotionally intensive healthcare encounters, such as in cancer care, provider and patient nonverbal behavior may be particularly important for communicating with empathy. Therefore, the aim of this study was to develop a conceptual model of communication that accounts for nonverbal behavior. We followed a systematic grounded theory design that involved semi-structured interviews with 23 providers, including nurse practitioners, physicians, surgeons, and physician's assistants. Using constant comparative analysis, we analyzed transcripts and developed a grounded theory model of communication accounting for nonverbal behavior. The major themes included building rapport, gauging how patients will take bad news, ensuring patients' understanding of their conditions, staying honest but hopeful, centering but guiding patient through cancer care, conveying empathy while managing heightened emotions, and ensuring patient understanding. Throughout the process, providers synthesize both verbal and nonverbal information and apply what they learn to future encounters. The results extend existing models of patient-centered communication and invite communication intervention and research that incorporates nonverbal behavior. The model contributes an understanding of the full process of communication in clinical encounters.

Everyday amnesia: Residual memory for high confidence misses and implications for decision models of recognition.

Despite studying a list of items only minutes earlier, when reencountered in a recognition memory test, undergraduate participants often say with total confidence that they have not studied some of the items before. Such high confidence miss (HCM) responses have been taken as evidence of rapid and complete forgetting and of everyday amnesia (Roediger & Tekin, 2020). We investigated (a) if memory for HCMs is completely lost or whether a residual memory effect exists and (b) whether dominant decision models predict the effect. Participants studied faces (Experiments 1a, 2, and 3) or words (Experiment 1b), then completed a single-item recognition memory task, followed by either (a) a two-alternative forced-choice recognition task, in which the studied and nonstudied alternatives on each trial were matched for their previous old/new decision and confidence rating (Experiments 1 and 2) or (b) a second single-item recognition task in which the targets and foils were HCMs and high confidence correct rejections, respectively (Experiment 3). In each experiment, participants reliably distinguished HCMs from high-confidence correct rejections. The unequal variance signal detection and dual-process signal detection models were fit to the single-item recognition data, and the parameter estimates were used to predict the memory effect for HCMs. The dual-process signal detection model predicted the residual memory effect (as did another popular model, the mixture signal detection theory model). However, the unequal variance signal detection model incorrectly predicted a negative, or no, effect, invalidating this model. The residual memory effect for HCMs demonstrates that everyday amnesia is not associated with complete memory loss and distinguishes between decision models. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The application of comprehensive incentive model theory in debridement, plastic surgery and suturing of preschool children.

The application of comprehensive incentive model theory in debridement, plastic surgery and suturing of preschool children.

A diffused background from axion-like particles in the microwave sky

The nature of dark matter is an unsolved cosmological problem and axions are one of the weakly interacting cold dark matter candidates. Axions or ALPs (Axion-like particles) are pseudo-scalar bosons predicted by beyond-standard model theories. The weak coupling of ALPs with photons leads to the conversion of CMB photons to ALPs in the presence of a transverse magnetic field. If they have the same mass as the effective mass of a photon in a plasma, the resonant conversion would cause a polarized spectral distortion leading to temperature fluctuations with the distortion spectrum. The probability of resonant conversion depends on the properties of the cluster such as the magnetic field, electron density, and its redshift. We show that this kind of conversion can happen in numerous unresolved galaxy clusters up to high redshifts, which will lead to a diffused polarised anisotropy signal in the microwave sky. The spectrum of the signal and its shape in the angular scale will be different from the lensed CMB polarization signal. This new polarised distortion spectrum will be correlated with the distribution of clusters in the universe and hence, with the large-scale structure. The spectrum can then be probed using its spectral and spatial variation with respect to the CMB and various foregrounds. An SNR of ~ 4.36 and ~ 93.87 are possible in the CMB-S4 145 GHz band and CMB-HD 150 GHz band respectively for a photon-ALPs coupling strength ofgaγ = 10-12GeV-1using galaxy clusters beyond redshiftz= 1. The same signal would lead to additional RMS fluctuations of ~7.5 × 10-2 μK at 145 GHz. In the absence of any signal, future CMB experiments such as Simons Observatory (SO), CMB-S4, and CMB-HD can put constraints on the coupling strength better than current bounds from particle physics experiment CERN Axion Solar Telescope (CAST).

The Role of Occupational Self-Efficacy as a Mediator between Paradoxical Leadership and Job Crafting from the Lens of Proactive Motivation Theory

Purpose- By utilizing the theory of the proactive motivation model, the mediation effect of occupational self-efficacy between paradoxical leadership and job crafting has been examined in this study. Study Design/methodology/approach- This study adopted a temporally segregated research design for two time intervals, 1 month apart; we collected data from 422 employees from the telecom sector of Islamabad and Rawalpindi. Findings- Using SMART PLS-SEM, the findings showed that the relationship between paradoxical leadership and job crafting was mediated by occupational self-efficacy. The data supported the hypothesized relationships. Research Practical Implications- The study highlights the significance of employees’ proactive behavior providing practical insights for managers and identifies occupational elements by incorporating the model of proactive motivation theory. Organizations can undertake leadership training that is specifically designed to promote proactivity. Managers should create a balanced leadership and conducive environment to initiate occupational self-efficacy that can promote proactivity in job crafting. Originality/value- There is limited research on paradoxical leadership that can align with the proactivity of employees who have been efficacious at work. These findings offer insight into how employees' occupational self-efficacy can initiate the proactivity of job crafting in a dynamic environment.

FAKE NEWS ABOUT COVID-19 AND ITS PSYCHOLOGICAL EFFECTS ON SOCIAL MEDIA USERS IN PAKISTAN

Social media is leading medium which is used for communication during the COVID-19 pandemic. The abrupt episode of Corona pandemic has been joined by explosion of deception about the illness. As COVID-19 epidemic spread, virtual media outlets showed up as significant method for linking, just as a method of looking for and sharing the data about the illness. This examination targets estimating the mental impacts of phony news about COVID-19 via web-based media clients in Pakistan. Study is quantitative in nature. Survey method has been used to collect the data. The Direct Effects Model of Mass Media Theory has been employed on this study. The results of the study reveal that the element of anxiety, fear and stress are linked with social media users of Facebook. Facebook users have come across with these elements due to the circulation of fake news on Facebook and about COVID-19. This study recommends that there should be the gatekeeping mechanism to verify the authenticity of the news shared upon social media platforms. The social media authorities also need to pay heed to stop this prevailing issue, particularly in the age of pandemic when people become more vulnerable.

Students' Motivation to Attend Al-Qur'an Learning on Telegram

This research aims to unravel the motivation of participants from various countries in memorizing the Qur'an on social media, especially on Telegram. One of the most popular social media in the Arab world is a telegram which is used as a medium for learning the Qur'an. تسميع حر رفيقات الخير and تسميع وتعاونون بين الاخوات are halaqah's of memorizing the Al-Qur'an specifically for women who are the objects of this research. The theory used in this study is the theory of the ARCS Model to understand and analyze the phenomenon of motivation for learning the Qur'an on social media. The research method used was qualitative with case studies in the two groups by interviewing several female students. Data collection techniques were carried out through interviews, observation, and documentation. The results showed that the participants gave attention to memorizing the Qur'an due to cultural motives which have become a hereditary tradition, not something new or unique. There are elements relevant to memorizing the Al-Qur'an with daily life that is a need for the soul, there is a feeling of wanting to be calm, happy, feeling safe and protected from danger so that it is motivated to interact with the Al-Qur'an. Element Confidence that is, students believe memorizing the Qur'an can motivate them to succeed in the hereafter, not only in the world. Elements satisfaction that is, the participants have a feeling of satisfaction from within themselves in memorizing the Qur'an. The novelty value of this research is the importance of motivation and its elements in memorizing the Qur'an to achieve the pleasure of Allah SWT. The importance of using telegram media from any country in collaborating to transmit the Qur'an towards quality memorization. Motivation to memorize the Qur'an is an important indicator in the religious traditions of Arab women. It is a traditional practice that has been passed down from previous generations to the present so that memorizing the Qur'an is not something unique and new but a sure way to achieve true happiness not happiness in the world alone.

A Parallel Mediation Analysis of Behavioral Constructs Linking Intention-to-Use Technology to Performance Outcomes Among Pharmaceutical Executives

Managers in organizations are at a crossroads in understanding how behavioral intention to use technology influences employee performance. In the technology acceptance model, behavioral intention is a precursor to actual system use. However, there is inadequate information on how this intention indirectly impacts performance among employees in pharmaceutical organizations. Intuitively, behavioral mechanisms (job satisfaction, conscientiousness, self-efficacy, perceived relevance) should transform technology use into desired outcomes and serve as explanatory links between behavioral intention and technology performance. Using the theoretical lens of the technology acceptance model, reasoned action, and contingency theories, this study explored the mechanisms linking behavioral intention to technology performance among pharmaceutical executives. A web-based survey of a random sample of 282 pharmaceutical executives was conducted using a self-administered Google Forms questionnaire. Data was analyzed using variance-based structural equation modeling in ADANCO software, controlling for job-based demographics. All independent variables in the model significantly explained the variance in the dependent variable, technology performance. Perceived relevance was the only substantial linkage between behavioral intention and technology performance. The study confirmed that perceived relevance is an important mediator between behavioral intention and technology performance. To enhance performance, managers should adopt strategies that enhance job satisfaction, conscientiousness, self-efficacy, and perceived relevance. Ensuring appropriate technology deployment, adequate employee education, and targeted training are crucial for enhancing these mediating effects. The study contributes to the existing literature by recommending the inclusion of perceived relevance as a mediating link in the technology acceptance model.

Problems Scanning Related to Stunting Using Iceberg Theory Model in Salakbrojo Village Central Java

Problems Scanning Related to Stunting Using Iceberg Theory Model in Salakbrojo Village Central Java

Exploring Key Determinants of Trail Run Athlete’s Preparedness to Perform Pre-Hospital First Aid for Ankle Sprain

Trail runs have a high risk of injury like ankle sprains. Proper ankle sprain first aid requires preparedness to prevent more serious danger and ensure its success in the pre-hospital setting. This study aimed to explore key determinants of trail run athletes’ preparedness to perform pre-hospital first aid for ankle sprain using the PRECEDE-PROCEED Model theory. The research method used a descriptive correlational which approached cross-sectionally. The research recruited 120 trail run athletes of two professional clubs who were selected by simple random sampling. Data was collected using questionnaires. The variables measured were knowledge, belief, value, attitude, and confidence. Bivariate analysis used chi-square and spearman-rho tests. Multivariate analysis used a logistic regression test. All of the statistical analyses used α = 0,05. The research results show that half of the respondents was 18 – 35 years old. The factors correlated to the trail run preparedness to perform pre-hospital first aid for ankle sprain was as follows. The majority had a medium level of knowledge (54,2%) and a significance level of p = 0.000. Similar trends were found between belief, value, and confidence in which there were no low levels of those variables with the same significance value of p = 0.000. Lastly, respondent’s percentages of attitudes were almost equally distributed between negative (45%) and positive (66%) with a significance level of p = 0,000. In multivariate analysis, all the variables had p-values < 0,05. The OR was as follows, knowledge 14,713; belief 77,919; value 27,554; attitude 7,213; and confidence 12,408. The conclusion is found that knowledge, belief, value, attitude, and confidence were significantly correlated with the athlete’s preparedness Together all variables were correlated significantly to the athlete’s preparedness to perform pre-hospital first aid for ankle sprain. In conclusion, to improve athlete safety during trail runs is by improving the preparedness for any adverse event including trail runs. All of the factors could increase preparedness, but some factors resulted in higher preparedness. The factors that have more effect on preparedness than the others are belief and value.