Interactive Model Research Articles

Pore network modelling of CO2-shale interaction for carbon storage: Swelling effect and fracture permeability

Pore network modelling of CO2-shale interaction for carbon storage: Swelling effect and fracture permeability

Model-Based Power Transformer Protection Using Interactive Multiple Model Algorithm

Model-Based Power Transformer Protection Using Interactive Multiple Model Algorithm

人工智能赋能金融学课程创新：理论、实践与展望Artificial Intelligence-Driven Innovation in Finance Courses: Theories, Practices, and Prospects

本文探讨了人工智能（AI）技术在金融学课程创新中的应用，旨在为高校金融学教学改革提供指导。随着AI技术的快速发展，金融行业正经历深刻变革，对复合型金融人才的需求愈发迫切。文章首先梳理了建构主义、行为主义、混合式学习和联接主义学习理论在AI赋能金融学课程中的应用，包括情境模拟、个性化辅导、程序教学、强化机制、在线与面对面教学结合以及知识图谱技术建立知识点联系等。实践路径上，提出了基于AI的个性化教学策略、智能互动式教学模式和虚拟仿真实验教学应用，通过数据分析定制学习路径、智能工具增强课堂互动以及虚拟环境提升实操能力。此外，文章还探讨了AI优化教学评价，通过多维度数据驱动的评价指标体系、自动化与实时化评价过程以及促进学生全面发展的评价导向，实现对学生学习情况的全面、科学评估。最后，文章总结了研究结论，并对未来研究方向进行了展望。通过本文的研究，期望为高校金融学教学改革提供有益参考，助力培养适应新时代需求的高素质金融人才。 This paper explores the application of artificial intelligence (AI) technology in innovating finance courses, aiming to provide guidance for teaching reform in finance education at colleges and universities. With the rapid development of AI technology, the financial industry is undergoing profound transformations, and the demand for multidisciplinary financial talents is becoming increasingly urgent. Firstly, the paper examines the application of constructivism, behaviorism, blended learning, and connectivism learning theories in AI-empowered finance courses. These include scenario simulation, personalized tutoring, programmed instruction, reinforcement mechanisms, the integration of online and face-to-face teaching, and the establishment of knowledge point connections through knowledge graph technology. In terms of practical approaches, the paper proposes AI-based personalized teaching strategies, intelligent interactive teaching models, and virtual simulation experimental teaching applications. These involve customizing learning paths through data analysis, enhancing classroom interaction with intelligent tools, and improving practical operation skills within virtual environments. Additionally, the paper explores the optimization of teaching evaluation through AI. This includes a multi-dimensional, data-driven evaluation index system, an automated and real-time evaluation process, and an evaluation framework aimed at fostering students’ all-round development, enabling comprehensive and scientific assessments of their learning outcomes. Finally, the paper summarizes the research findings and discusses future research directions. It is expected that the insights provided by this study will serve as a valuable reference for teaching reform in finance education, contributing to the cultivation of high-quality financial talents equipped to meet the demands of the new era.

GMmorph: dynamic spatial matching registration model for 3D medical image based on gated Mamba

Objective.Deformable registration aims to achieve nonlinear alignment of image space by estimating a dense displacement field. It is commonly used as a preprocessing step in clinical and image analysis applications, such as surgical planning, diagnostic assistance, and surgical navigation. We aim to overcome these challenges: Deep learning-based registration methods often struggle with complex displacements and lack effective interaction between global and local feature information. They also neglect the spatial position matching process, leading to insufficient registration accuracy and reduced robustness when handling abnormal tissues.Approach.We propose a dual-branch interactive registration model architecture from the perspective of spatial matching. Implicit regularization is achieved through a consistency loss, enabling the network to balance high accuracy with a low folding rate. We introduced the dynamic matching module between the two branches of the registration, which generates learnable offsets based on all the tokens across the entire resolution range of the base branch features. Using trilinear interpolation, the model adjusts its feature expression range according to the learned offsets, capturing highly flexible positional differences. To facilitate the spatial matching process, we designed the gated mamba layer to globally model pixel-level features by associating all voxel information, while the detail enhancement module, which is based on channel and spatial attention, enhances the richness of local feature details.Main results.Our study explores the model's performance in single-modal and multi-modal image registration, including normal brain, brain tumor, and lung images. We propose unsupervised and semi-supervised registration modes and conduct extensive validation experiments. The results demonstrate that the model achieves state-of-the-art performance across multiple datasets.Significance.By introducing a novel perspective of position matching, the model achieves precise registration of various types of medical data, offering significant clinical value in medical applications.

Transformation of Visionary and Collaborative Leadership Styles in Contributing Publication Innovation of Madrasah Aliyah

This research aims to interpret the transformation of visionary and collaborative leadership styles in madrasah publication innovation. The object of this research is educational consumers MAN 2 Banyuwangi, This research design uses a qualitative approach with a case study method, The source of informants in this study consisted of the head of the madrasa, and teachers. MAN 2 Banyuwangi. Data collection in this study was carried out through in-depth interviews, direct observation, and publication documentation, Data analysis in this study uses an interactive analysis model developed by Miles, Huberman, which includes three main steps: data reduction, data presentation, and conclusion drawing. The results of this study indicate that the visionary and collaborative leadership styles at MAN 2 Banyuwangi are successful in contributing the publication innovation. The collaborative leadership strengthens educational community networks, transformation for resource management and innovation, to increasing Madrasah reputation.

Integrating CALL and AIALL for an interactive pedagogical model of language learning

Abstract Given the great potential of integrating Computer-Assisted Language Learning (CALL) and Artificial Intelligence-Assisted Language Learning (AIALL) to enhance language learning outcomes, there is a growing interest in exploring their combined effects. In this vein, the present study aimed to develop and test an interactive pedagogical model of language learning (IPMLL) by integrating CALL and AIALL elements in a combined module. To further investigate the effects of this model, a comprehensive evaluation was conducted, considering various aspects such as learner motivation, personalized learning experiences, and feedback effectiveness. The results indicate that (1) the integration of CALL and AIALL in the IPMLL positively influenced learner motivation, leading to greater involvement and active participation in language learning activities; (2) the personal learning interactions facilitated by the IPMLL, including adaptive instruction and intelligent feedback, contributed to improved language proficiency and learner satisfaction. Theoretically, this integration aligns with established pedagogical theories and frameworks, such as cognitive theories of multimedia learning, emphasizing the significance of interactive and technology-enhanced learning environments. Pedagogically, the IPMLL offers practical implications for teachers, highlighting the benefits of incorporating CALL and AIALL elements in language teaching methodologies. This study contributes to the growing body of research on technology-enhanced language learning and provides insights for future developments in this field.

Augmented reality and digital placemaking: enhancing quality of life in urban public spaces

ABSTRACT Public places affect residents’ and tourists’ quality of life. However, stakeholders may struggle to understand these environments’ features. Digital technology has made interactive urban space models possible, enabling more collaborative and inclusive urban planning. Tehran’s Vanak Square neighborhood uses digital placemaking. Augmented reality with interactive markers lets residents influence planning. The integration of augmented reality with emerging technologies is transforming urban environments. The emergence of urban metaverse cyberspaces and the transformation of cities into smart cities through technologies like AR are revolutionizing how residents do business and live, including virtual offices, stores, and tourism. This integration democratizes services, resources, and skills globally without borders, significantly altering the fabric of urban life. Digital placemaking improves public space design and inclusivity, increasing city life. Moreover, integrating concepts like urban metaverse cyberspaces and smart city digital twins can further revolutionize urban living by democratizing services and resources through immersive technologies.

Interactive sequential generative models for team sports

Understanding spatiotemporal coordination of players in team sports is key to movement models, pattern detection, and computational tactics. Existing generative models propose to capture all stochasticity by a single latent variable and may suffer from entangled representations, or aim to uncover interaction structures of players but then do not focus on their generative ability. As a remedy, we propose a hierarchical latent variable model for predicting trajectories of multiple players. In the generative model, both, discrete role assignments and a latent interaction graph are sampled to allow for different models in subsequent node updates and message passing operations between nodes, where standard Gaussian latent variables are employed per agent and timestep. We cast our approach as a variational autoencoder that provides a disentangled latent space to capture variability in team sport movements and propose a neural architecture for its optimization. We empirically evaluate our approach on tracking data from basketball and soccer and observe that our contribution outperforms the state-of-art in all experiments.

Research on Interactive Teaching of College English Based on Deep Learning and Virtual Reality

As digital technologies advance, the need for interactive teaching methodologies in higher education has become crucial, particularly in the context of English language learning. This study explores innovative approaches utilizing deep learning and virtual reality to enhance student engagement and learning outcomes in college environments. The primary aim is to investigate the effectiveness of an Intelligent Coral Reef Optimization-driven Redefined Long Short-Term Memory (ICR-RLSTM) model, designed to facilitate a more dynamic and personalized learning experience in college English courses. The dataset comprises diverse English language materials, including texts, audio and interactive exercises, sourced from various educational platforms. Data pre-processing involves standardization techniques and the application of Natural Language Processing (NLP) algorithms to ensure the information is clean and structured for optimal analysis. The proposed interactive teaching model integrates gamification elements and virtual environments to provide students with immersive learning experiences. The ICR-RLSTM algorithm enhances predictive capabilities by optimizing long-term memory retention through intelligent coral reef optimization techniques, adapting to individual learner progress. Preliminary results indicate that the proposed model significantly improves student engagement and knowledge retention compared to traditional methods. The findings suggest that integrating deep learning and virtual reality into English language teaching can create adaptive and effective learning environments. This research contributes valuable insights into enhancing interactive teaching strategies and informs future educational practices.

Development of PBL-Based Smart Apps Creator Media to Improve Science Learning Outcomes for Grade IV Elementary School Students

The use of interactive learning models and media that are not optimal in the science learning process has a negative impact on student learning outcomes. Therefore, a solution is needed to overcome these obstacles, so this study aims to develop, test the feasibility, and effectiveness of learning media in improving the learning outcomes of fourth grade students. The resulting learning media is a smart apps creator based on Problem Based Learning (PBL) about the state of matter and its transformation. The research methodology with Research and Development (RnD) using the ADDIE paradigm includes analysis, design, development, implementation, and evaluation. A total of 27 fourth grade students of SD Negeri 2 Bojongsari participated in this study. The t-test showed a significant difference between the pretest and posttest results with a significance level of 0.00 meaning less than 0.05. The N-gain test shows moderate criteria with a score of 0.55 on a small scale and 0.62 on a large scale. The results of the study indicate that the smart apps creator learning media based on problem-based learning on the material of the state of matter and its changes has been successfully developed and is very feasible and effective in improving the learning outcomes of fourth grade students of SD Negeri 2 Bojongsari.

Design of an IoT-Based Intelligent Platform for Ideological and Political Education Management

The social and ideology education, focus instruction, hands-on learning, and a variety of means, students are cultivated in their political quality, moral character, and sense of social responsibility while it is being guided in understanding the nation’s important policies and social current affairs. Ideological and political disciplines are implementing the problem of transformation within the framework of the major criteria of the new curriculum reform. In the conventional teaching process, students face several challenges in achieving the essential quality of ideological and political education. The artificial intelligence-assisted interactive modeling on the Internet of Things platform (AI-IM-IoT) is able to generate a smart system for ideological and political education, addressing various problems in the current situation. Performance in conventional ideological and political learning platforms, an investigation on the construction of intelligent media ideological and political learning platforms are based on AI technology. Hence AI-IM-IoT has been the Ideology of ideas and beliefs that influence social behavior and can possess an effect on educational achievements. Ideological viewpoints on education can influence educational institutions’ aims, values, and priorities, as well as how resources and opportunities are allocated. Students are encouraged to develop an understanding of social, economic, and political issues via ideological and political education programs.

Teachers’ Perspective Concerning Multicultural Education to Support Sustainable Development Goals (SDGs)

Objective: The aim of this research is to understand the teacher's perspective on multicultural education. This paper discusses the teachers’ perspective concerning multicultural education in Indonesia. Theoretical Framework: Multicultural education is an education system that recognizes and respects the diversity of cultures, races, religions and social backgrounds of students. The study of the role of teachers in multicultural education is an important factor in supporting policy-making on multiculturalism. Method: There were 55 teachers with more than five years of work experience giving their perspectives. Data were collected by observation and in-depth interviews. The data underwent analysis using the four processes outlined in the Interactive Model of Analysis. Results and Discussion: The results showed that the teachers’ perspective concerning multicultural education is divided into five aspects, namely: (1) knowledge, (2) attitudes, (3) policies, (4) obstacles, and (5) reinforcement. Not all teachers understand the concept of multicultural education. Basically, the teacher agrees to the implementation of multicultural education because Indonesia is a multicultural country. Government policies have supported the implementation of multicultural education. The obstacle to multicultural education is the low awareness of students about respect for diversity. Strengthening multicultural education can be done by increasing teachers' knowledge about multicultural education and students' insights about diversity. Research Implications: The findings of this study hold significant relevance for governmental deliberation in formulating policies pertaining to multicultural education. Originality/Value: The results of this research are important for government consideration in taking policy on multiculturalism education. It also supports Sustainable Development Goals (SDGs) SDG 11 in making cities and human settlements inclusive, safe, resilient, and sustainable.

Thermochemical Techniques for Disposal of Municipal Solid Waste Based on the Intuitionistic Fuzzy Hypersoft Evaluation Based on the Distance from the Average Solution Technique

The processing and disposal of municipal solid waste (MSW) are global problems, particularly in low- to middle-income states like Pakistan. These economic systems will need to tackle problems regarding municipal solid waste disposal to accomplish a sustainable future in waste management. Still, the determination of MSW procedures is frequently influenced by unstable, vague, and inadequately stated criteria. To deal with this issue, we designed an interactive model that uses intuitionistic fuzzy hypersoft sets (IFHSSs) to find the optimal thermochemical processing system for MSW. The main objective of this research is to define interactional operational laws for intuitionistic fuzzy hypersoft numbers and to use these laws to build interaction aggregation operators (AOs) and ordered AOs along with their basic characteristics. Based on developed operators, a novel Evaluation Based on the Distance from the Average Solution (EDAS) technique is proposed to integrate multiple attribute group decision making (MAGDM) issues. The suggested strategy is used to analyze five thermochemical treatment techniques for MSW, using a case study focusing on Pakistan’s particular MSW administration problems to choose the most economical technique. Therefore, the new structure is assessed with established methodologies to illustrate its stability. The comparison of results proves that the implications of the stated approach will be more effective and capable than the existing approaches.

Сравнительная оценка подходов к подготовке бакалавров по авиационным двигателям

The paper presents preliminary results of a comparative assessment of two modern approaches to bachelor's degree training: traditional classroom methods and training with immersive technologies, evaluated by the criterion of knowledge acquisition efficiency in the field of 24.03.05 Aircraft Engines. The platform "Virtual pavilion for studying of aircraft engines design" was used as an immersive educational environment. It is a set of interconnected educational spaces: a virtual hangar, a training laboratory, an engine design class and a workshop-simulator. The platform is equipped with tools for interacting with objects during practical tasks, IT databases aintegrated into the environment with information about the studied engines, and their interactive models as digital replicas of engines displayed in the Center for the History of Aircraft Engines at Samara University. An attempt was made to assess the quality of students' learning in the discipline "Introduction to the Specialty" using testing methods. The analysis results suggest that employ-ing immersive technologies in studying complex technical objects can reduce reliance on traditional methods such as drawings, diagrams, cutaway models, and full-scale samples. Instead, virtual simulators, laboratories, libraries, and other tools, including those supporting distance learning, can be increasingly utilized.

Targeting tubulin protein to combat fungal disease: Design, synthesis, and its new mechanistic insights of benzimidazole hydrazone derivatives.

As the vital the biomacromolecule in eukaryotic cells, tubulin protein is essential for preserving cell shape, facilitating cell division, and cell viability. Tubulin has been approved as promising target for anticancer, and antifungal therapy. However, there are still many gaps in tubulin-targeted fungicidal discovery. To expand the structural diversity of benzimidazoles and achieve the distinct interaction model, a series of novel benzimidazole hydrazone derivatives were therefore synthesized. Antifungal results showed that compound A9 was the most effective, achieving an EC50 value of 2.88 μg/mL in vitro against Colletotrichum sublineola. In vivo assay, compound A9 displayed encouraging efficacy, outperforming the reference agents ferimzone and tetramethylthiuram disulfide. Interestingly, mechanistic studies indicated that, compared with carbendazim, compound A9 might form stronger interactions with tubulin, exemplified by the presence of multiple hydrogen bonds and π-π interactions, leading to intracellular microtubule aggregation in compound A9-treated cells. The significantly different interactions models between A9-tubulin and carbendazim-tubulin complexes may endow to produce the low resistance risk. Additionally, compound A9 possessed low phytotoxicity and satisfactory ADME properties. This study not only provides a structural basis for the development of benzimidazole-based fungicides targeting tubulin but also offers new insights into the use of immunofluorescence assays in tubulin-targeting studies.

The changes in the traditional food serving patterns in the Ganti Langse traditional ceremony in Ngawi, Indonesia during the COVID-19 pandemic: a philosophical study and symbolic meaning

The COVID-19 pandemic that hit the world for almost two years also had an impact on the implementation of traditional ceremonies. The implementation of traditional ceremonies in pandemic situations was carried out simply to reduce COVID-19 transmission. The simplification of traditional ceremonies certainly affects the pattern of traditional food served in the traditional ceremony. This study aimed to describe the changes in the pattern of traditional food serving in the Ganti Langse traditional ceremony in Palenggahan Ageng Srigati, Babadan Village, Ngawi Regency, Indonesia during the COVID-19 pandemic as well as its philosophical meaning. The data in the study was collected through observations and interviews. The data analysis was done with an interactive analysis model. The results showed that there was a change in the pattern of traditional food serving in the Ganti Langse traditional Ceremony in Palenggahan Ageng Srigati in an effort to reduce COVID-19 transmission. The changes found include the change in the food-making patterns and the change in food serving containers. In addition, each traditional food in the Ganti Langse traditional ceremony has a philosophical meaning attached to the social life of the Babadan Village community. This research revealed that changes in the cooking and serving of the food in the Ganti Langse traditional ceremony do not change the meaning of the food in the social life of the people of Babadan Village.

Implementasi Pendekatan Saintifik (K13) pada Pembelajaran Fikih di Yayasan Perguruan Islam Azizi

This study aims to describe the implementation of the scientific approach (K13) in fiqh learning at Yayasan Perguruan Islam Azizi. The research used a qualitative method with field research and data collection techniques through observation, interviews, and documentation. Data analysis techniques included data reduction, data presentation, and verification or conclusion drawing. The data validity technique adopted the interactive model (Miles and Huberman). The results indicate that Yayasan Perguruan Islam Azizi still uses the 2013 curriculum (K13). Based on observations and interviews, the fiqh teachers at Yayasan Perguruan Islam Azizi have implemented the scientific approach in the learning process. This approach involves applying scientific steps such as observing, questioning, gathering information, reasoning, and communicating. It is expected to enhance students' understanding and skills in fiqh material and build critical and analytical thinking abilities. Thus, the implementation of the scientific approach in fiqh learning holds significant potential for continuous application to improve the quality of Islamic education.

Primary School Teacher Performance in Banyuke Hulu Sub-District, Landak District, West Kalimantan

Teacher performance is the result of work shown in carrying out the main tasks at school, including planning, implementing, evaluating learning, as well as the responsibility of educating and guiding students. This study aims to describe teacher performance, principals' expectations, and efforts to improve teacher performance in SDN Banyuke Hulu sub-district, Landak district. This research used a qualitative method with a case study approach conducted in four primary schools: SDN 06 Semade, SDN 16 Betung, SDN 05 Gamang, and SDN 01 Kampet. Data were collected through interviews with 4 principals and 24 teachers, observations, and documentation, and analyzed using the Miles, Huberman, and Saldana interactive model. The results showed that teachers' performance in the schools was classified as good in planning, mastering materials, methods, strategies, and evaluating learning. Teachers show obedience, honesty, responsibility, cooperation skills, and satisfactory work performance. Principals expect teachers' performance to improve by encouraging participation in making teaching aids, procuring facilities and infrastructure, discussion, motivation, and creating a collaborative working environment between teachers and parents. This study recommends that school principals have clear expectations of teacher performance and that the education office adjust policies to school conditions to support improvements in the quality of teacher performance.

Strategi Rekrutmen Dan Seleksi Karyawan Dalam Meningkatkan Kualitas Sumber Daya Manusia

The purpose of this study is to determine the recruitment and selection strategies of employees at PT Sukses Mantap Sejahtera in improving the quality of Human Resources. This type of research is a qualitative descriptive study. Data collection uses interview, observation and documentation methods. Data analysis techniques use interactive data analysis models. Data validity techniques use source triangulation and technical triangulation. The results of the study showed that PT Sukses Mantap Sejahtera uses open and closed recruitment strategies with reference to the company's SOP. The PT Sukses Mantap Sejahtera selection strategy has three stages: work experience selection, written test selection, and interview test selection.

Can’t help processing numbers with text: Eye-tracking evidence for simultaneous instead of sequential processing of text and numbers in arithmetic word problems

Solving arithmetic word problems requires individuals to create a correct mental representation, and this involves both text processing and number processing. The latter comprises understanding the semantic meaning of numbers (i.e., their magnitudes) and potentially executing the appropriate mathematical operation. However, it is not yet clear whether number processing occurs after text processing or both take place simultaneously. We hypothesize that number processing occurs early and simultaneously with other problem-solving processes such as text processing. To test this hypothesis, we created non-solvable word problems that do not require any number processing and we manipulated the calculation difficulty using carry/borrow vs. non-carry/non-borrow within addition and subtraction problems. According to a strictly sequential model, this manipulation should not matter, because when problems are non-solvable, no calculation is required. In contrast, according to an interactive model, attention to numbers would be higher when word problems require a carry/borrow compared to a non-carry/non-borrow operation. Eye-tracking was used to measure attention to numbers and text in 63 adults, operationalized by static (duration and count of fixations and regressions) and dynamic measures (count of transitions). An interaction between difficulty and operation was found for all static and dynamic eye-tracking variables as well as for response times and error rates. The observed number processing in non-solvable word problems, which indicates that it occurs simultaneously with text processing, is inconsistent with strictly sequential models.