Diffusion Theory Research Articles

Innovation diffusion in healthcare: evaluating the 'post-treatment' approach in Indonesia

This article aims to describe and qualitatively analyze the diffusion of innovation in healthcare services, specifically focusing on post-treatment healthcare services in the city of Bengkulu, Indonesia. Based on the innovation diffusion theory and incorporating the theory of reasoned action (TRA), this research explores behavior in the process of organizing and implementing healthcare services to enhance the quality of public services in Bengkulu. The study employs a qualitative descriptive research approach, utilizing data sources such as interviews, direct field observations, and documentation. The results of this study indicate that knowledge serves as the primary foundation in the diffusion of innovation in healthcare services. In the context of post-treatment services, the community lacks knowledge about these services. The findings of this research are expected to provide insights for the local government of Bengkulu, particularly Harapan dan Doa Hospital (RSHD) in Bengkulu, as a healthcare service provider. Through knowledge dissemination among all stakeholders supporting innovation diffusion, each can play their respective roles. Consequently, with knowledge playing a key role in the diffusion of innovation in healthcare services, it is anticipated that it will enhance the quality of healthcare services through effective and efficient service delivery, with a focus on the goals of innovation.

Administrative evil and moral disengagement: The case of torture in apartheid‐era South Africa

AbstractUnderstanding how administrators can commit unethical acts is an important goal of public administration research. This article tests whether moral inversion, taken from Balfour, Adams, and Nickels' theory of administrative evil, can help explain torture, and also proposes and tests Bandura's theory of moral disengagement. It analyzes testimony from perpetrators of torture who testified before the South African Truth and Reconciliation Commission in 1996–2000. The results support moral inversion, as perpetrators stated that they believed their actions were morally justified. The results also support displacement of responsibility, as perpetrators shifted responsibility away from themselves and toward actors above or below them in the chain of command. However, the analysis does not support the theory of diffusion of responsibility, as perpetrators did not take the silence of officials outside of their chain of command as approval, but instead anticipated their disapproval and tried to conceal their actions.

Educators’ Perceptions of the Use of Virtual Reality in the Classroom: Psychometric Validation of Scale in Indian Context

With ample evidence supporting the benefits of using Virtual Reality (VR) in education, teachers' perceptions of such educational innovations decide whether they are accepted or rejected and, if accepted, how successfully they are integrated into teaching. However, there is a dearth of literature with regard to the availability of a suitable measurement tool to gauge their perception specifically in the Indian setting. This is the research gap that is aimed to be met and the novelty of the study. Based on the theory of Diffusion of Innovations and the Technology Acceptance Model, the study aimed to validate Educators' Perceptions of the use of VR on Classroom scale, adapted by Khukalenko et al. (2022) from Wozney et al. (2006). The original version was tested among Russian educators and had 16 items on a six-point Likert-scale format with a Cronbach’s Alpha of 1.00. The investigators here conducted the validation process on a sample of 150 Indian university educators. Because it is a relatively new scale and is based on a strong theory, confirmatory factor analysis (CFA) alone remained adequate for its validation in India. By using IBM SPSS and AMOS for data analysis, the factor structure of the initial model led to the deletion of eight items due to low factor loading values. The second model, however, suggested a satisfactory fit of this unidimensional scale with eight items and yielded a Cronbach's alpha coefficient of 0.843. It is, therefore, a reliable tool for measuring teachers' perception of the use of VR in the Indian context.

A free-energy based multiple-distribution-function lattice Boltzmann method for multi-component and multi-phase flows

This study presents the development of a multiple-distribution-function lattice Boltzmann model (MDF-LBM) for the accurate simulation of multi-component and multi-phase flow. The model is based on the diffuse interface theory and free energy model, which enable the derivation of hydrodynamic equations for the system. These equations comprise a Cahn-Hilliard (CH) type mass balance equation, which accounts for cross diffusion terms for each species, and a momentum balance equation. By establishing a relationship between the total chemical potential and the general pressure, the momentum balance equation is reformulated in a potential form. This potential form, together with the CH type mass balance equation, is then utilized to construct the MDF-LBM as a coupled convection–diffusion system. Numerical simulations demonstrate that the proposed MDF-LBM accurately captures phase behavior and ensures mass conservation. Additionally, the calculated interface tension exhibits good agreement with experimental data obtained from laboratory studies.

Study of oxygen transport in glassy polymers on a nanometer length scale utilizing the kinetic Monte Carlo simulations.

Diffusion-controlled deactivation of excited phenanthrene and oxidation of triplet aryl-nitrene by molecular oxygen were used to determine the energetics of oxygen jump rates in the set of glassy polymers: poly(methyl methacrylate), poly(n-butyl methacrylate), polycarbonate, polystyrene, and polysulfone. To interpret experimental results, a simple model based on the transition state theory of diffusion jump has been used. The kinetic Monte Carlo simulations of phenanthrene deactivation and nitrene oxidation were carried out in a cubic lattice that modeled a polymer matrix. The bonds of the lattice were assigned to be activation barriers for the diffusion jumps of oxygen molecules from one site of the lattice to another. The standard deviation, σ‡, and spatial correlation length, rc, of the free energy of diffusion jump have been determined. It is shown that the spatial correlation of oxygen jump rates on a nanometer scale and the entropic nature of the dynamic heterogeneity are common features of all the studied polymers.

Diffusion behaviors of binary mixtures of alkanes and aromatics through ZSM‐5 zeolite: A kinetic Monte Carlo study

AbstractDiffusion of hydrocarbon species in an MFI‐type zeolite was investigated using a coarse‐grained approach combined with Kinetic Monte Carlo (KMC) simulations. The model was employed to capture and isolate the essential characteristics of hydrocarbon diffusion such as molecular pushing, passing, and blocking. A modified Lennard‐Jones type forcefield was used to approximate interactions between molecules, and molecules with the oxygen in the zeolite lattice. The basis for the rate expressions is configurational diffusion theory, which has been adjusted to account for an accurate representation of the motions of hydrocarbon molecules trapped in the zeolite. Diffusion coefficients were estimated for low and high loading of single hydrocarbons as well as binary mixtures. In all cases studied, reasonable agreement was achieved with reported experimental data and molecular dynamics simulations. The model is conceptualized as an analytical tool that may be used to address key engineering topics such as applications of zeolites as size‐selective barriers.

Design of Adits for People Passing Spacing in High Altitude Highway Tunnels in Cold Regions

Existing research into this topic primarily focuses on low-altitude areas, neglecting the impact of extreme environmental conditions such as low temperature, low oxygen level, and low pressure in high-altitude regions. Based on the smoke diffusion theory, a series of CFD numerical simulations were conducted in order to investigate the characteristics of smoke diffusion in the highway tunnel at high altitude. The results indicated that the increase in altitude would enhance the longitudinal propagation velocity of smoke, leading to a more pronounced impact on temperature, CO concentration, and visibility at characteristic heights. Meanwhile, the altitude intensifies the inhibitory impact of longitudinal ventilation on smoke diffusion upwind of the fire source and augments the acceleration effect on smoke diffusion downwind, thereby impeding personnel evacuation on the downwind side. By taking the hazardous range at a characteristic height under the impact of wind velocity and the deceleration of evacuation velocity due to altitude into consideration, a new recommended reduction factor was deduced to design adits for people passing spacing in highway tunnels at high altitude. The findings can serve as a valuable reference for the personal evacuation in high-altitude highway tunnel fires and the design of spacing between adits for people passing within such tunnels.

Two-dimensional problem for an infinite body of two coaxial cylinders under the action of a solenoidal body force in the theory of thermoelastic diffusion

This study investigates the dynamic response of an infinite structure comprising two coaxial cylinders employing the one-relaxation-time generalized thermoelastic diffusion model. The inner cylinder, serving as a cavity, possessing a radius a, while the outer cylinder has radius b. The inner cylinder is insulated and experiencing a localized thermal load with thickness 2 h. The outer cylinder, with radius b, is also experiencing to a localized thermal load with width 2 h, and its surface exhibits no traction. Additionally, the structure experiences the influence of a solenoidal body force. The analysis of this problem employs a combination of Laplace transform, inverse Laplace transform, and exponential Fourier transform techniques. Numerical analysis of the resulting solutions reveals the variations in temperature, displacement, radial stress, concentration, and potential fields as a function of the radial coordinate. Results indicate a minimal impact of the time interval on the temperature distribution, while displacement and radial stress exhibit significant time-dependent behavior. These findings highlight the significance of incorporating thermoelastic diffusion theory in the analysis of real-world engineering problems.

Mobile Payment Innovations in Ambiguously Enforced Use Contexts

In this study, the authors discuss whether the innovation characteristics of mobile payment (m-payment) explain user attitudes and intentions in a psychologically conflictual context regarding the locus of control of use decisions. The authors present the development of an instrument that fully integrates innovation diffusion theory with the technology acceptance model and analyze data collected with it from Brazilian m-payment users during the COVID-19 pandemic. With path analysis, the authors found that the innovation factors of perceived observability and perceived relative advantage respectively explain the attitudes and the intentions toward m-payment. None of the other innovation factors had explanatory power. Moreover, two expected relationships in voluntary use settings for the formation of attitudes were not supported, leading the authors to conclude that the locus of control in use decisions was ambiguous to the user. The findings contribute to research on innovation diffusion, technology acceptance, consumer studies, usage patterns, behavioral change, and on the debate about the voluntariness or mandatoriness of technology use.

Modeling the relationship between living in informal dwellings and fear of crime in Gauteng Province, South Africa

ABSTRACT Information from the fifth wave of the Quality-of-Life Survey conducted by the Gauteng City-Region Observatory was used in this paper to investigate the relationship between living in informal dwellings and fear of crime. This examination is based on existing theories, including victimization/vulnerability, neighborhood disorder, and diffuse anxiety theories. Given the prominence of informal dwellings in most urban areas in South Africa, including Gauteng Province, this study examines whether living in informal dwellings determines fear of crime or feelings of unsafety. Multilevel cumulative logistic models were therefore estimated to account for similarities between individuals in the same wards while at the same time modeling for differences between wards. The results indicate that an individual residing in an informal dwelling is less likely to feel safe than one who resides in a formal dwelling in Gauteng Province. By focusing on informal dwellings as the predictor of interest, the present paper attempts to extend the panoply of predictors that can be used in empirical research when testing the above-mentioned theories.

The genetic architecture of polygenic local adaptation and its role in shaping barriers to gene flow.

We consider how the genetic architecture underlying locally adaptive traits determines the strength of a barrier to gene flow in a mainland-island model. Assuming a general life cycle, we derive an expression for the effective migration rate when local adaptation is due to genetic variation at many loci under directional selection on the island, allowing for arbitrary fitness and dominance effects across loci. We show how the effective migration rate can be combined with classical single-locus diffusion theory to accurately predict multilocus differentiation between the mainland and island at migration-selection-drift equilibrium and determine the migration rate beyond which local adaptation collapses, while accounting for genetic drift and weak linkage. Using our efficient numerical tools, we then present a detailed study of the effects of dominance on barriers to gene flow, showing that when total selection is sufficiently strong, more recessive local adaptation generates stronger barriers to gene flow. We then study how heterogeneous genetic architectures of local adaptation affect barriers to gene flow, characterizing adaptive differentiation at migration-selection balance for different distributions of fitness effects. We find that a more heterogeneous genetic architecture generally yields a stronger genome-wide barrier to gene flow and that the detailed genetic architecture underlying locally adaptive traits can have an important effect on observable differentiation when divergence is not too large. Lastly, we study the limits of our approach as loci become more tightly linked, showing that our predictions remain accurate over a large biologically relevant domain.

The Diffusion of Exclusion: Medieval Expulsions of Jews

What social processes guide the spread of ethnic or racial exclusion? I investigate the diffusion of medieval expulsions of Jews among over 500 polities in the western Holy Roman Empire, 1385–1520 CE. For medieval governors, religious and material concerns were strong rationales against expulsion. Yet expulsions increase markedly in the 15th century. Did an expulsion by one government affect another government’s choices about expulsion? I appraise three common theories of policy diffusion: learning, social reinterpretation, and social structural and resource constraints. Statistical models provide evidence only for the latter two. While theological changes gave expulsion fresh political value, the adoption of expulsion followed political and economic incentives that were embedded in inter-city relationships of power and dependency. The results indicate that social influence, especially spatial proximity, cannot be assumed to accelerate ethnoracial extremism.

Study on Vertical Distribution of Sediment Concentration in the Tidal Estuary

The vertical distribution of sediment concentration in estuaries is the core issue of suspended sediment transport. At present, there are many researches on the vertical distribution of sediment concentration in rivers, and a lot of results have been achieved, but that in estuaries is seldom studied. The Yellow River Estuary (YRE) and the Qiantang River Estuary (QRE) are typical tidal estuaries with strong erosion/deposition and high concentration in China. Under the action of alternating tidal flow, the suspended sediment transport shows significant time-varying and non-equilibrium transport characteristics. The vertical distribution of sediment concentration is quite different from that of ordinary rivers. This paper analyzes the vertical distribution of sediment concentration under the action of tidal currents based on the theory of sediment movement and diffusion. Compared with equilibrium sediment transport, the vertical distribution of sediment concentration only differs by one vertical distribution coefficient. Based on the analysis of the measured data, it is found that the vertical distribution of sediment concentration in the YRE and QRE is mostly exponential. Firstly, the multivariate relationship between the vertical distribution coefficient and the sediment saturation and suspension index is established by means of the measured water and sediment data of the QRE. The correlation coefficient <I>R</I><sup>2</sup> was above 0.64, which has a good correlation. Finally, the established relationship was validated using measured water and sediment data from the YRE, and the results were basically consistent, indicating that the established formula for vertical distribution of sediment concentration is suitable for general tidal estuaries, and has a certain reference value for the simulation of sediment transport in the YRE and QRE.

Research on the diffusion plugging mechanism of flowing water grouting slurry in karst pipelines

Among the many adverse geological disasters, the surge water disaster in karst areas causes the greatest loss to underground engineering construction, so it is necessary to carry out relevant research on the management of surge water disaster in karst pipelines. This study presents the creation of an oily epoxy resin magnetic convergence grouting material (OEMS) specifically developed to prevent water infiltration in pipelines. A self-designed visual karst pipeline grouting simulation system was used to conduct an experimental study on the diffusion and plugging behavior of magnetic slurry grouting. A model was constructed to simulate the migration of a magnetic slurry in water inrush circumstances. The model is based on the theory of slurry diffusion and the concept of magnetic adsorption. The results suggest that:(i) The best performance in grouting sealing is achieved when the ratio of new OEMS epoxy resin A liquid to B liquid is 2:1, and the blending ratio of flyash and Fe3O4 powder falls between 25 and 55%. (ii) The primary and secondary correlations among the parameters that affect the rate of change in flow rate, plugging pressure, and slurry retention rate are as follows: Hydrodynamic velocity has the greatest correlation, followed by plugging length, Fe3O4 power ratio, and flyash mixture ratio. (iii) The validity of the model is verified by comparing empirical observations with calculated theoretical values.

Modeling User Intentions for Electric Vehicle Adoption in Thailand: Incorporating Multilayer Preference Heterogeneity

Background: The automotive industry is pivotal in advancing sustainability, with electric vehicles (EVs) essential for reducing emissions and promoting cleaner transport. This study examines the determinants of EV adoption intentions in Thailand, integrating demographic and psychographic factors from Environmental psychology and innovation diffusion theory; Methods: Data from a structured questionnaire, administered to 4003 respondents at gas stations with EV charging facilities across Thailand, were analyzed using a Correlated Mixed-Ordered Probit Model with Heterogeneity in Means (CMOPMHM); Results: Findings indicate that younger adults, particularly those aged 25–34 years old and 45–54 years old, are more likely to adopt EVs, whereas conventional or hybrid vehicle owners are less inclined. Rural residency or travel also hinders adoption. Individuals with strong environmental values and openness to new technologies are more likely to adopt EVs; Conclusions: The proposed model quantified the relative importance of these factors and uncovered heterogeneity in user preferences, offering reliable and valuable insights for policymakers, EV manufacturers, and researchers. The study suggests targeted policies and enhanced charging infrastructure, especially in rural areas, and recommends leveraging environmental values and trialability through communication campaigns and test drive events. These insights can guide the development of targeted incentives, infrastructure expansion, communication strategies, and trialability programs to effectively promote wider EV adoption in Thailand and similar markets.

Diffusion theory, economic consequences, and adoption of international standards on auditing around the world

This paper examines the economic consequences of adopting the International Standards on Auditing (ISAs) from a diffusion of innovation theory perspective. Using a very extensive dataset with 160 countries over 20 years and generating 3,200 country-year observations, this study examines the impact of ISAs adoption on the economic consequences of adopting countries. Our findings are threefold. First, we show that early ISAs adoption has positively and significantly influenced three economic indicators of the adopting countries: (i) economic growth, (ii) foreign direct investment (FDI) inflows, and (iii) exchange rate. Second, our results show that late ISAs adoption has positively and significantly influenced two economic indicators: (i) exports and (ii) interest rates, but negatively with imports. Third, we find a significant positive association between ISAs adoption with amendments or translation and two economic indicators: (i) FDI and (ii) exchange rate, but negative with inflation. Finally, and by contrast, we find a negative link between early ISAs adoption, economic growth rate, and exports. Our findings have implications for theory and practice.

Water-rock interfacial softening model of cemented soft rock: An experimental and numerical study

Cemented soft rock is prone to softening when exposed to water, and its mechanical properties deteriorate rapidly, which is an important reason to induce the instability and failure of engineering soft rock mass. The softening mechanism of soft rock is essentially the deterioration of microstructure caused by the change of water-rock interface. Considering the general characteristics of soft rock, the microstructural evolution characteristics and element loss over varying immersion time are then compared and analyzed. The Interfacial Cemented Bonding (ICB) structure is proposed to describe the evolution of water-rock interface. Based on the diffusion theory, the theoretical equation describing the evolution of water-rock interface is derived and compared with the experimental results. The meso-softening damage factor (MSDF) of soft rock is proposed and introduced into a numerical method to establish a strength degradation discrete element method (SD-DEM) model. The results show that the softening process of soft rock is accompanied by the shedding and suspension of particles and the dissolution of soluble substances. Besides, the softening of soft rock has obvious nonlinear dynamic characteristics. The fitting degree between the theoretical values and the experimental results is relatively high, which verifies the reliability and rationality of the dissolution-diffusion interfacial softening model. The numerical results are in good agreement with the experimental ones. This study provides a new idea for understanding the mechanism of water-induced softening characteristics and strength degradation of soft rock.

Nonlocal dual-phase-lag Cattaneo-type thermoelastic diffusion theory and its application in 1D transient dynamic responses analysis for copper-metallic layered structure

Nonlocal dual-phase-lag Cattaneo-type thermoelastic diffusion theory and its application in 1D transient dynamic responses analysis for copper-metallic layered structure

Corrections to Diffusion in Interacting Quantum Systems

The approach to equilibrium in interacting classical and quantum systems is a challenging problem of both theoretical and experimental interest. One useful organizing principle characterizing equilibration is the dissipative universality class, the most prevalent one being diffusion. In this paper, we use the effective field theory (EFT) of diffusion to systematically obtain universal power-law corrections to diffusion. We then employ large-scale simulations of classical and quantum systems to explore their validity. In particular, we find universal scaling functions for the corrections to the dynamical structure factor ⟨n(x,t)n⟩, in the presence of a single U(1) or SU(2) charge in systems with and without particle-hole symmetry, and present the framework to generalize the calculation to multiple charges. Classical simulations show remarkable agreement with EFT predictions for subleading corrections, pushing precision tests of effective theories for thermalizing systems to an unprecedented level. Moving to quantum systems, we perform large-scale tensor-network simulations in unitary and noisy 1D Floquet systems with conserved magnetization. We find a qualitative agreement with EFT, which becomes quantitative in the case of noisy systems. Additionally, we show how the knowledge of EFT corrections allows for fitting methods, which can improve the estimation of transport parameters at the intermediate times accessible by simulations and experiments. Finally, we explore nonlinear response in quantum systems and find that EFT provides an accurate prediction for its behavior. Our results provide a basis for a better understanding of the nonlinear phenomena present in thermalizing systems. Published by the American Physical Society 2024

Komunikasi Inovasi Jasa Raharja Cabang Riau Dalam Mengimplementasikan Pelayanan Santunan Online Korban Kecelakaan Di Kota Pekanbaru

Innovation communication is a way of conveying the discovery of new ideas to society so that social change occurs. A new innovation that is a solution to Jasa Raharja services which is caused by the high number of accidents in Pekanbaru City. In-person support services take a lot of time and take a long time, online updates make it easier for users of these support services. This research aims to analyze the communication innovation of raharja services in implementing online compensation services for accident victims in Pekanbaru city. This research uses qualitative research methods, with data collection techniques using interviews and analyzing the media used in the innovation diffusion process. As for determining research subjects, a purposive technique was used with five informants, then the data analysis technique used Miles and Huberman data analysis techniques which included data collection, data reduction, data presentation and conclusion drawing. This research uses Rogers and Shoemaker's theory of diffusion of innovation. This theory examines messages in the form of new ideas or thoughts, which cause social change.From the research results, this innovation communication has 4 stages, namely. In this research it can be concluded based on the results of the analysis using Roger's theory which has 4 points, This innovation distribution explains that the involvement of communicators provides information in the form of socialization in the form of a content that states information about how to claim or submit compensation from Jasa Raharja. A communicator does not only work alone, this communicator is the Head of Public Relations, Jasa Raharja, who works together with the compensation service staff to collaborate with the community to make it easier and more affordable. With new innovations, since 2009, compensation services for accident victims have gone from conventional forms to online services. This communication channel uses social media, namely in the form of Instagram and Tik Tok, then uses print media, television media and radio media. By implementing the Innovation Division, it has made progress, but of course there are still new innovations, of course this is influenced by factors that hinder the establishment of this innovation, one of which is awareness. The awareness of users or local people who use vehicles in traffic, whether land, sea or air, of course they do not have awareness.