Medium Model Research Articles

Model of Contextual Learning Media in Understanding the Knowledge and Skills of Learners

Abstract The use of teaching methods in accounting education is still rare. This can lead to students having little or no interest, lack of motivation, and learning difficulties in understanding accounting because it is unclear. The importance of this research is to understand the production process of learning media models in accounting. Develop an understanding of knowledge and skills in accounting through learning experiences based on real-world situations. The method used in this study is the use of the research model (4D) developed by Thiagarajan, with definition (interpretation), design phase, development phase and dissemination phase (distribution). The results suggest that interpretation of existing data is not sufficient to support the use of the scientific method. All students are motivated to learn the curriculum in the classroom.

Amplitude equations for wave bifurcations in reaction–diffusion systems

A wave bifurcation is the counterpart to a Turing instability in reaction–diffusion systems, but where the critical wavenumber corresponds to a pure imaginary pair rather than a zero temporal eigenvalue. Such bifurcations require at least three components and give rise to patterns that are periodic in both space and time. Depending on boundary conditions, these patterns can comprise either rotating or standing waves. Restricting to systems in one spatial dimension, complete formulae are derived for the evaluation of the coefficients of the weakly nonlinear normal form of the bifurcation up to order five, including those that determine the criticality of both rotating and standing waves. The formulae apply to arbitrary n-component systems ( n⩾3 ) and their evaluation is implemented in software which is made available as supplementary material. The theory is illustrated on two different versions of three-component reaction–diffusion models of excitable media that were previously shown to feature super- and subcritical wave instabilities and on a five-component model of two-layer chemical reaction. In each case, two-parameter bifurcation diagrams are produced to illustrate the connection between complex dispersion relations and different types of Hopf, Turing, and wave bifurcations, including the existence of several codimension-two bifurcations.

TurkishBERTweet: Fast and reliable large language model for social media analysis

Turkish is one of the most spoken languages in the world; however, it is still among the low-resource languages. Wide us of this language on social media platforms such as Twitter, Instagram, or Tiktok and strategic position of the country in the world politics makes it appealing for the social network researchers and industry. To address this need, we introduce TurkishBERTweet, the first large scale pre-trained language model for Turkish social media built using over 894 million Turkish tweets. The model shares the same architecture as RoBERTa-base model with smaller input length, making TurkishBERTweet lighter than the most used model, called BERTurk, and can have significantly lower inference time. We trained our model using the same approach for RoBERTa model and evaluated on two tasks: Sentiment Classification and Hate Speech Detection. We demonstrate that TurkishBERTweet outperforms the other available alternatives on generalizability and its lower inference time gives significant advantage to process large-scale datasets. We also show custom preprocessors for social media can acquire information from platform specific entities. We also conduct comparison with the commercial solutions like OpenAI and Gemini, and other available Turkish LLMs in terms of cost and performance to demonstrate TurkishBERTweet is scalable and cost-effective.

On Splits, Big and Little: Towards an Intensive Model of Media and Mediation

This essay forwards an intensive model of mediation contrasted with the extensive model implicit in much of media theory, which conceives of communication media as an extension of human faculties. An intensive model, instead, conceives of mediation as a phenomenological process of splitting or folding affective capacities. An extensive model results in a dualistic, essentialist theory of communication media and unresolvable normative debates about the connecting or disconnecting consequences of media. An intensive model avoids these limitations by diagramming various modes of mediation and illustrating how their consequences stem from alterations to intensive properties, thereby helping constitute subjects and media objects alike rather than presuming a media bridge between pre-existing subjects and objects. The essay employs a number of examples to illustrate the extensive model, including telephone conversations, cinema, animation, and social media. The essay concludes with the division of families over QAnon conspiracies to illustrate the analytic gain from an intensive model.

Markov fracture models of inhomogeneous media and design of layered structures synthesized by additive technology

We consider the problem of studying the fracture of a composite macrolayer synthesized by additive technology on a solid substrate, to which the boundary of the lower microlayer is rigidly bonded. The materials of the microlayers are homogeneous and isotropic. The thicknesses of microlayers and the total thickness of the macrolayer are the control parameters of synthesis. The physical and mechanical characteristics of the microlayers and their combination in the macrolayer are also controlling parameters. The layer is fractured by a crack, which may appear in the top layer (or any other layer) and move toward the substrate or free surface, perpendicular to the boundaries of the microlayers. The crack can stop at the boundaries between the layers (then it is treated as a separate state) or pass through the boundaries without stopping. Based on the theory of Markov chains, the average lifetime of a stratified layer synthesized on a substrate using additive technology and the variance of the number of cycles (lifetime) characterizing the quality of the synthesized structure are calculated. On the basis of the materials available for the synthesis of the layered coating, the problems of optimal design of the composite body with maximum average resource, minimum resource dispersion, maximum specific strength for given geometric and physical-mathematical constraints on the composite parameters are solved. To find optimal solutions, dynamic programming algorithms are used, implemented on circuits (graphs) of sequential selection of a combination of layer materials according to their synergistic properties.

A true double-body method based on porous media model for simulation and froude scaling verification of an aquaculture vessel resistance

A blueprint of a novel aquaculture vessel composed of rectangular cylinders, pontoons, and nets with the capacity for self-propulsion was drawn. However, when completely different flow features are caused by non-stream shapes, resistance prediction cannot be accurately performed through conventional ship model experiments as the existing scale rules may be invalid. Besides, the existence of nets creates obstacles not only in model tests but also in numerical simulations. Therefore, resistance evaluation of the vessel with nets is very challenging. Porous media model for nets is one of feasible solutions and was validated by previously published experimental results, although a control volume was required. However, porous media model is incompatible with volume of fluid multiphase, which makes the double-body method adopted inevitably. A literally true double-body method based on porous media model was proposed. The comparison of vessels with and without a net exhibited a beneficial interaction between the net and the vessel hull, especially for nets with higher solidity. Furthermore, the Froude scaling law was adopted based on the hypothesis of Reynolds number invariance. All the full-scale resistances predicted by it in seven scale ratios demonstrated satisfactory consistency, and the relative errors grew with the increase of the scale ratios.

Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing.

Current treatments of cardiac arrhythmias like ventricular fibrillation involve the application of a high-energy electric shock, that induces significant electrical currents in the myocardium and therefore involves severe side effects like possible tissue damage and post-traumatic stress. Using numerical simulations on four different models of 2D excitable media, this study demonstrates that low energy pulses applied shortly after local minima in the mean value of the transmembrane potential provide high success rates. We evaluate the performance of this approach for ten initial conditions of each model, ten spatially different stimuli, and different shock amplitudes. The investigated models of 2D excitable media cover a broad range of dominant frequencies and number of phase singularities, which demonstrates, that our findings are not limited to a specific kind of model or parameterization of it. Thus, we propose a method that incorporates the dynamics of the underlying system, even during pacing, and solely relies on a scalar observable, which is easily measurable in numerical simulations.

Enhancing Computational Efficiency in Porous Media Analysis: Integrating Machine Learning with Monte Carlo Ray Tracing

Abstract Monte Carlo ray tracing (MCRT) has been a widely implemented and reliable computational method for calculating light-matter interaction in porous media, the computational modeling of porous media and performing MCRT becomes significantly expensive when dealing with intricate structures and numerous dependent variables. Hence, Machine Learning (ML) models have been utilized to overcome computational burdens. In this study, we investigate two distinct frameworks for characterizing radiative properties in porous media for pack-free and packing-based methods. We employ two different regression tools for each case, namely Gaussian process regressions for pack-free MCRT and Convolutional Neural Network (CNN) models for pack-based MCRT to predict the radiative properties. Our study highlights the importance of selecting the appropriate regression method based on the physical model, which can lead to significant computational efficiency improvement. Our results show that both models can predict the radiative properties with high accuracy (>90%). Furthermore, we demonstrate that combining MCRT with ML inference not only enhances predictive accuracy but also reduces the computational cost of simulation by more than 96% using the GP model and 99% for the CNN model.

Simulation of flow and heat transfer in high‐temperature and high‐pressure reservoir based on multi‐physical field coupling model at pore scale

AbstractThe use of irregular pore‐scale models to study heavy oil reservoirs with high‐temperature, high‐pressure, and high‐stress characteristics is effective. Previous studies have typically focused on regular models and conventional environmental reservoirs, with limited exploration of irregular models and reservoirs in extreme environments. In investigating the process of water displacing heavy oil within reservoirs under high‐temperature, high‐pressure, and high‐stress conditions at the pore scale, the utilization of the four‐parameter method creates a micro‐scale irregular porous media model. The model systematically considers the variation of physical properties of rocks and heavy oil with temperature. The results indicate that an appropriate increase in water injection rate or a decrease in reservoir contact angle will increase the recovery rate, temperature, and stress of the reservoir. At a displacement time of 0.3 s, with the water injection rate increasing from 0.004 to 0.01 m ∙ s−1, the reservoir's recovery degree experiences an increase of 0.091. Simultaneously, the average temperature and average stress of the reservoir increase by 29.66 K and 1.9464 × 109 N · m−2, respectively. At a displacement time of 0.3 s and with the contact angle decreasing from 2π/3 to π/3, the reservoir's recovery degree increases by 0.44537, and the average temperature and average stress of the reservoir increase by 2.87 K and 1.86 × 108 N · m−2, respectively.

How do users select the content they share on social media: flow theory perspective

PurposePaper studies the intervention of FI and TD on the sharing intention on social media (SM) users with different motivations.Design/methodology/approachThe mechanism for different motivations of SM users to influence sharing intention is explored using WarpPLS. The proposed model applies TAM in Hedonic Motivation System context and includes an alternate pathway of flow state.FindingsReciprocal relationship between FI and TD is empirically proven. Insights from the “Motivated Sharing Model for Social Media”(MSMSM) follow that users who use SM for information get immersed, however intention to share is not triggered by it.Practical implicationsThis study emphasizes on the compatibility of content characteristics with the gratifications of the motivations for SM use to achieve virality. Practitioners may use MSMSM to optimize content, so it appeals to the target audience and has a higher probability of being shared.Originality/valueSocial media users carry different motivations and choose to share select content on the overloaded platform. However, the mechanism for different motivations to drive sharing on SM has remained unexplored. Literature highlights flow as the driver of sharing, whilst the findings on the relationship between flow state and sharing intention on SM are inconclusive; some estimate a positively significant relationship, while others find it to be partially or selectively significant. In this study, intervention of the two dimensions of induced flow: namely, focused immersion (FI) and temporal dissociation (TD)—on the sharing intention on SM is examined.

Effectiveness of the Use of Media and Learning Models in Improving Students' Mathematical Communication Skills: Systematic Literature Review

SLR is researched to describe and find out the level of students' numerical communication capacity. Several parties have utilized a variety of learning materials and learning models to achieve the desired goals. The purpose of this study is to find out which learning tools and models can increase the scientific capacity of students. This question is divided into two tables, namely the media table and the strategy table. Analysts use proper writing audit frameworks to investigate existing diries. From the important articles, it can be concluded that a typical learning model can be utilized in learning materials aimed at supporting the advancement of scientific communication skills.

Time to rethink 'watchdog' journalism in the Pacific

For more than five decades, ‘Watchdog Journalism’ has been taught as the yardstick for a free media. With the so-called ‘mainstream’ media becoming increasingly commercialised—both in a global scale and domestically—and with the media being primarily owned by business conglomerates, the ‘watchdog’ model has created a journalism culture that is too adversarial and creates conflicts rather than helping to solve today’s problems/conflicts. A new paradigm of watchdog journalism is needed where the media is able to hold powerful players to account for facilitating the development/livelihood needs of communities, especially those in the margins of society. This new paradigm of journalism needs to focus on ‘development rights’ rather than ‘human rights’ taking into account many aspects of the United Nations’ Sustainable Development Goals (SDGs). The SDGs should be looked at in terms of a new definition of human rights where the journalist could play a similar role to that prescribed in ‘watchdog’ journalism theory, but looking for solutions rather conflicts, and include a larger field of stakeholders which need to be made accountable such as governments, big business and particularly conglomerates—even NGOs and faith-based organisations. This watchdog role needs to be applied to trade agreements and other treaties, including those addressing climate change. To develop a new journalism culture to address these issues, media training programmes in the Pacific need to rethink their strategies and examine how to promote independent social media models that are economically and sustainably viable.

Development of a Biology Learning Media-Flipped Classroom Model Using Edpuzzle

This research and development aims to produce biology learning media using the flipped classroom model with Edpuzzle that is feasible, practical, and effective in improving student learning outcomes on excretory system material. This type of research is development research using the ADDIE development model with stages: (1) analysis stage, (2) design stage, (3) development stage, (4) implementation stage, and (5) evaluation stage. The research results show: (1) Material expert validation test that the material in the media developed is very worthy with an average score of 88.72%. (2) The Instructional Design Expert validation test is very worthy, with an average score of 96.87%. (3) The Media Expert validation test is very worthy, with an average score of 94.20%. (4) Individual trials are very worthy, with an average score of 87.73%. (5) The small group trial was very feasible, with an average score of 90.90%. And (6) field trials are very worthy of an average score of 90.20%. The practicality test by very practical teachers had an average score of 90.20%, while the practicality test results for students had an average score of 94.90%, which was in the very practical category. Using the flipped classroom model, biology learning media with Edpuzzle in the experimental class got an average learning outcome of 89.68, while students who were taught without this media got an average score of 69.14. Testing the hypothesis using the independent t-test, there is a significant difference between classes taught using the flipped classroom model of biology learning media with Edpuzzle and classes taught without using this media.

Technological innovation: Instructional communication media in History and Civic Education

Background: The teaching of history and civic education, intended to foster national identity, is not fully achieved due to the absence of technological innovation in the instructional communication media used in high schools. Purpose: This research explores the need for ICT among students and teachers as instructional communication media to promote national identity in history and civic education. Method: This research used the Research and Development (R&D) method. The initial design involved an exploratory qualitative approach, with data collected through interviews with teachers and students from four high schools in Malang City, along with documentation from the Kurikulum Merdeka. The data were then analyzed using interactive analysis techniques to understand the information technology and communication needs of students and teachers for simulating national identity in history and civic education. In the next stage, a development approach was carried out to construct a model for instructional communication media that incorporated technological innovation to simulate national identity in history and civic education. Results: The results indicate that instructional communication media for promoting national identity through simulated history and civics education require technological innovation in the form of the NUSANTARA.IN application, which offers. Teaching materials on history and civic education tailored to students’ characteristics, A virtual reality feature that provides students with a virtual learning experience in history and civic education, and User-generated content to build a network among students for learning history and civic education. Conclusion: NUSANTARA.IN, which includes three distinct features, is a technological innovation designed to serve as an instructional communication media, enabling students and teachers to simulate national identity in history and civic education. Implications: The findings from this study contribute to the theoretical advancement of instructional communication media by incorporating concepts such as virtual reality, user-generated content, and student networking in high school education.

Clay Properties in the Mukdadiya Formation for Drilling Fluid Production from Shorau and Shewsoor, N Kirkuk, Iraq

The present study involves assessing the potential of the clay layers in the Muqdadiya Formation (late Miocene–Pliocene) for use in oil well drilling fluids. It is achieved through conducting various tests on the samples under investigation and comparing the results with the standard specifications for drilling fluids set by the American Petroleum Institute (API). The study also compares the effectiveness of different additives in improving the local clays and the impact of adding XC-polymer on the current wicking values. It has been found that XC-Polymer possesses superior properties compared to other polymers when used in the same concentrations. This substance is extremely important due to its direct correlation with the operation of drilling fluid. The test was used to determine that the two research models (Shorau and Shewasoor) at their usual concentrations did not produce the necessary characteristics of the drilling fluid in accordance with API requirements. Appropriate specifications for the drilling fluid were obtained by conducting a series of laboratory tests, increasing the model's concentration to 25 grams, and adding high-viscosity CMC and XC-Polymer to the sample in order to assess the current properties of the two study models in fresh media. The Shurao (M1) and Shewsoor (M2) models did not show current properties suitable for drilling fluid in salty media. After adding XC-Polymer to 25 grams of the models activated with 4 grams of Na2CO3, the two study models showed a response to the activation process and obtained results for current properties suitable for drilling operations in salty media. It turned out that the Shewsoor model had more appropriate specifications than the Shorau model.

Towards the Communicative Specifics and Rhetoric Features of the Media Model of Political Discourse of the Acting Leader of the French Right — Wing Political Party «Rassemblement National» Jordan Bardella

Towards the Communicative Specifics and Rhetoric Features of the Media Model of Political Discourse of the Acting Leader of the French Right — Wing Political Party «Rassemblement National» Jordan Bardella

Investigation on uneven flow distribution in triply periodic minimal surface heat exchangers

The development in manufacturing engineering has made it possible to adopt the unique porous structure known as the triply periodic minimal surface to increase energy efficiency in a variety of energy-related sectors. With the unique morphological characteristics, triply periodic minimal surface exhibits remarkable mechanical strength and thermal performance, which makes it a potential candidate for compact, high-performance heat exchanger constructions. In this study, a theoretical model based on triply periodic minimal surface porous media is developed. Based on the hypothesis that the triply periodic minimal surface is isotropic and the heat transfer intensity of fluid and solid is uniform throughout the core of the heat exchanger, the simulation of the full-size heat exchanger is simplified by using a porous media model. The flow distribution characteristics of triply periodic minimal surface heat exchangers, as well as the effect mechanism of key factors, including the channel porosity, header configuration, the type of triply periodic minimal surface, the core length and Reynolds number on the flow distribution performance, are investigated. A dual-header configuration is proposed to improve the flow uniformity of triply periodic minimal surface heat exchangers. The results indicate that the flow distribution performance of triply periodic minimal surface based heat exchangers can be enhanced by the reduction of channel porosity. When the cold-side porosity is 0.7, the flow rate deviates from the mean value by 220% at its maximum for a Primitive heat exchanger. A dual-header configuration eliminates the columnar extreme high velocity space in the core and greatly reduces the “weak zone” of flow distribution, which improves the flow non-uniformity by 45–90% over the single-inlet headers. This paper provides data and theoretical support for the optimal design and practical application of the complex, high-performance triply periodic minimal surface based heat exchangers.

Families of Stress-Strain, Relaxation, and Creep Curves Generated by a Nonlinear Model for Thixotropic Viscoelastic-Plastic Media Accounting for Structure Evolution Part 3. Creep Curves

Families of Stress-Strain, Relaxation, and Creep Curves Generated by a Nonlinear Model for Thixotropic Viscoelastic-Plastic Media Accounting for Structure Evolution Part 3. Creep Curves

Research on Oil and Gas Adsorption Optimization Based on CFD Modeling and Process Simulation.

In the process of oil extraction and refining, some of the liquid light hydrocarbon components will inevitably evaporate into the atmosphere, causing serious air pollution and safety hazards. This paper is focused on oil and gas adsorption systems to comprehensively optimize key parameters by combining computational fluid dynamics (CFD) modeling with process simulation, enabling the efficient treatment of hazardous materials. First, a CFD model of the hydrocarbon adsorption process is established to the porous media model by a user-defined function (UDF). Subsequently, the mass transfer process of oil and gas in porous media is successfully simulated to obtain the gas distribution in an industrial fixed bed adsorption tower. The adsorption tank is intensified, and the gas distribution in the tank is improved by optimizing the height-to-diameter ratio of the equipment and the design of the intake distributor. Third, the cyclic two-tank adsorption model of the pressure swing adsorption (PSA) process is established for key parameters optimization. Finally, the operating parameters and conditions of the PSA process are suspected by considering five factors affecting the adsorption efficiency: adsorption time, adsorption pressure, adsorption temperature, feed flow rate, and purge ratio of the washing step.

Dynamics of Digital Media Use in Religious Communities—A Theoretical Model

Mediatization and digitalization are trends that are increasingly affecting religious communities and their communicative practices. While many aspects of these developments have been described theoretically and empirically, little is known about the dynamic interplay between digital media use, an individual’s religious meaning system, and the relationships within a religious community. Building on the theory of the mediatization of religion, the functionalist perspective of religion, media selection, and co-orientation research, we propose a dynamic model of digital media use in religious communities. Hereby, the religious functions of meaning-making and social connection are considered important drivers for how individuals engage with others. Additionally, theories on media selection help our understanding of the acceptance and domestication of new technologies, as well as selective exposure to specific content. In combination, the model links the individuals with the social context of their religious communities and vice versa. Furthermore, the theoretical model helps to combine and systematize empirical research from different disciplines that are relevant to understanding today’s digital religious media use. We therefore conclude with a discussion of the benefits of the model for future theoretical developments and empirical research in the field of digital religion and beyond.