Adaptive Technology Research Articles

Threshold-optimized and features-fused semi-supervised domain adaptation method for rotating machinery fault diagnosis

In the field of intelligent fault diagnosis, domain adaptation (DA) technology achieves significant breakthroughs, particularly in reducing reliance on large volumes of labeled samples. Despite these advancements, challenges persist when unlabeled data do not accurately represent actual application scenarios. Additionally, the impact of pseudo-labels on conditional domain adaptation raises concerns. To overcome the above challenges, a novel DA approach based on chaos sparrow search algorithm (CSSOA) optimized threshold parameters and feature fusion deep belief network (DBN) is proposed, named CSS-DADBN. Firstly, this method, by integrating pseudo-label updating with semi-supervised domain adaptation (SSDA) and employing confidence and entropy threshold parameters as corrective rules for pseudo-label filtering, along with the introduction of iterative conditions as an additional selection criterion, effectively alleviates the aforementioned issues. Furthermore, combining the feature extraction capabilities of DBN with a domain feature fusion strategy significantly enhances cross-domain feature learning, thereby substantially improving diagnostic accuracy. Ultimately, to validate the effectiveness and practicality of the CSS-DADBN method, a series of experiments conducted on the PT700 and Case Western Reserve University (CWRU) rolling bearing test platform clearly demonstrate its utility and efficiency in intelligent fault diagnosis.

Research and Application of Smart Temporary Plugging Gel for Small Casing Cementing in Changqing Oilfield

Abstract In response to the serious leakage and low productivity recovery rate after cement plugging during the secondary cementing process of repairing small casing in the old wells of Changqing Oilfield, this study draws on the theory of shielding and temporary plugging in the drilling process to propose an adaptive smart temporary plugging gel technology. This technology has developed a weak gel suspension base liquid and synthesized a polymer material with good viscosity, high deformability, high sealing strength, and the ability to automatically hydrate and degrade at a certain temperature. It synergistically cooperates with other auxiliary temporary plugging materials to form an adaptive and self-degrading temporary plugging gel system, which can quickly form a sealing barrier at severely leaking areas such as corroded perforations, effectively preventing cement slurry leakage during subsequent cementing processes, shortening the operation cycle, and protecting the reservoir. Experimental evaluations indicate that the gel system can withstand pressure up to 15MPa, degrades in 7-10 days, and achieves a reservoir recovery rate of over 90%, effectively achieving the goals of plugging, releasing, and minimizing reservoir pollution. It has been applied in 30 wells in the Changqing Oilfield, with a success rate of over 96% in the first plugging operation, and an average production recovery rate of over 95%, significantly protecting the oil reservoir.

Performance evaluation of a novel adaptive temperature-controlled lining technology based on thermo-hydro-mechanical coupling analysis

To mitigate the hazards of high geotemperatures in hydraulic tunnels, the performance of a novel adaptive temperature-controlled lining was investigated across various working phases of high geothermal tunnels using the thermo-hydro-mechanical coupling analysis with the finite element software COMSOL. The results indicated an error margin of only 2% to 6% compared to the field measurements, proving the feasibility of the method. Compared with the conventional concrete lining, the adaptive temperature-controlled lining reduced the average inner wall temperature by approximately 55% during construction, decreased the maximum thermal deformation by approximately 37%, transferred the localized energy elevation from the inner wall to the outer lining, and lowered the maximum elastic strain energy density by approximately 62%. During the water-filled operational phase, the radius of temperature influence in the low-temperature zone of the adaptive temperature-controlled lining expanded by approximately 20%, whereas the maximum thermal stress decreased by approximately 76%, the thermal deformation by 50%, and the elastic strain energy density by 88%. Throughout both the construction and operational phases, the adaptive temperature-controlled lining significantly enhanced the temperature control, improved the stress distribution, and reduced the risk of concrete cracking. These findings could offer the innovative engineering insights into the design, construction, and operation of high-geothermal tunnels.

Lightweight bearing defect detection method based on collaborative attention and domain adaptive technology

Abstract With the rapid development of industrial manufacturing, bearing defect detection has become a key link to ensure the safe operation of equipment and improve production efficiency. Aiming at the problems of low accuracy and large parameters of traditional bearing defect detection models, this paper proposes a lightweight bearing defect detection method based on collaborative attention and domain adaptive technology. Firstly, the collaborative attention mechanism uses multiple parallel attention heads to extract the features of different regions in the image respectively. Each attention head can independently extract and weigh the features of specific regions, which can capture the complex features of bearing defects more comprehensively, including shape, texture, edge and other key information. At the same time, the domain adaptation technology aims to make the model adapt to the data distribution of different domains. It reduces the difference between the source domain and the object domain by aligning the feature distribution between the source domain and the object domain during the training process, thereby improving the performance of the model on the object domain. The experimental results show that the proposed method is 2.75% higher than the mAP@0.5 of YOLOv7, and has higher computational efficiency and better generalization ability than the traditional method.

Workplace Happiness among the Teaching Staff

Workplace happiness is a critical factor influencing employee satisfaction, productivity, and overall well-being. This research paper investigates workplace happiness among teaching staff in the educational sector, focusing on motivation, technological adaptability, interpersonal relationships, and their impact on performance outcomes. Using a descriptive research methodology, data was collected from teaching employees in Autonomous, Government, and Deemed-to-be Universities in Kerala. Results indicate significant correlations between workplace happiness, motivation, technological adaptability, and interpersonal relationships. The findings underscore the importance of fostering workplace happiness to enhance employee performance and create a conducive work environment in educational institutions.

Catalyzing green competitiveness in hotel and tourism businesses: Leveraging digital dynamic capability and green creativity

The global push for green initiatives is in line with advancements in smart technology. Therefore, this study aims to investigate the impact of digital dynamic capability “organization's capacity to swiftly utilize digital technologies for innovation and adaptation” on green competitiveness in hotel and tourism businesses, considering green creativity as a mediator. Using the statistical program WarpPLS 7.0, the study employed PLS-SEM to examine 333 replies that were provided by middle-level managers of five-star hotels and category-A travel agencies in Egypt. The study revealed that digital dynamic capability positively impacts both green competitiveness and green creativity. In addition, the study found that green creativity significantly mediates the relationship between digital dynamic capability and green competitiveness. The study offers fresh insights into how emerging concepts like digital dynamic capability predict green competitiveness in the tourism and hospitality industries.

Cloud-Enabled Personalization: Transforming Educational Paradigms through Adaptive Learning Technologies

This article examines the transformative impact of cloud computing on personalized learning in education, exploring how cloud-based technologies are reshaping educational paradigms. Through a comprehensive analysis of adaptive learning platforms, real-time feedback systems, and learning analytics, we demonstrate how cloud computing facilitates tailored educational experiences. The article addresses key challenges in education, including accessibility, resource allocation, and costeffectiveness, showcasing cloud-based solutions that enhance collaboration and inclusivity. We explore the evolution of teaching and learning tools, from virtual classrooms to interactive content delivery, and their role in improving student outcomes through early intervention systems and engagement-enhancing techniques. The global reach and scalability of cloud-based education are examined, highlighting its potential for cross-border learning and ability to meet fluctuating demands. Our findings indicate that cloud computing is not merely a technological advancement but a fundamental shift in educational methodology, offering unprecedented opportunities for personalized, efficient, and globally accessible learning experiences. This article contributes to the growing body of knowledge on educational technology and provides insights for educators, institutions, and policymakers seeking to leverage cloud computing for educational excellence.

Bibliometric Analysis of the Effectiveness of Waste Management and Recycling Programs in the Textile Industry

This bibliometric study provides a comprehensive analysis of the evolution and current trends in waste management and recycling within the textile industry, spanning from 1970 to 2024. Utilizing VOSviewer for keyword co-occurrence analysis, the research highlights a significant shift from basic waste management to advanced, sustainable practices integrated into textile production. The study reveals an increased focus on technologies such as wastewater treatment and recycling innovations, reflecting the industry's response to global sustainability demands. The findings illustrate the interdisciplinary nature of textile waste management research and underscore the importance of technological advancements in promoting environmental sustainability. However, the study also identifies ongoing challenges, including regional disparities in waste management effectiveness and the need for global standards. The study emphasizes the necessity for future research to address these challenges, proposing a continued focus on innovative, adaptable recycling technologies and comprehensive waste management strategies that can be implemented globally.

Behavior intention in coping cloud adaptation

This study investigates the indirect impact of perceived technology complexity on the adoption of cloud platforms by data scientists in Brazil. Specifically, it examines the mediating role of perceived work-related opportunities and behavioral intentions, as well as the use of exploration-to-innovate coping strategies. The research employs an online questionnaire survey and uses Confirmatory Factor Analysis, SEM, and OLS to analyze the data. The findings suggest that a serial mediation effect focused on behavioral aspects can better explain the adoption of cloud computing technology. The study identifies the need for further investigation into the potential moderating effects of voluntariness and self-efficacy on the relationship between perceived technology complexity and cloud platform adaptation. Moreover, incorporating other exogenous constructs such as new adaptation strategies, job outcomes, and job satisfaction may provide a more comprehensive understanding of the factors influencing technology adoption in the context of data science. The study highlights that reducing technology complexity can lead to increased adoption, better user experience, better retention rates, more innovation possibilities, and better competition position. However, additional training and support requirements for data scientists can increase the cost and time required for onboarding and maintenance. A cloud platform that is easy to use can enable remote work and collaboration, opening up opportunities for job growth and flexible work arrangements. This can be particularly beneficial for Brazilian professionals who have strong innovation skills but limited training and support. By transcending geographic barriers and infrastructure limitations, a user-friendly cloud platform can help bridge the digital divide. On the other hand, a complex cloud platform can widen the digital divide, particularly in developing countries, exacerbating existing inequalities. The research contributes to theory building by providing a serial mediation framework that better explains technology adaptation phenomena by combining coping theory and technology acceptance model.

LEADERSHIP BEHAVIORAL DEVELOPMENT OF MILLENNIAL LEADERS AS A CHANGE AGENT IN THE DIGITAL TRANSFORMATION ORGANIZATION

<p>The digital transformation era and Industry 4.0 provide ample opportunities for this generation to thrive with their rapid technological adaptation and openness to new ideas. This research examines millennial leadership behavioral development to enable them to effectively become change agents in digital organizations, using the case study of William Tanuwijaya at Tokopedia. Through a review of literature from international sources during 2020–2023, this study discusses millennial leadership theories and change management, highlighting the urgency and importance of adaptive leadership capable of managing change in the face of digital organizational challenges. The research findings indicate that millennial leadership styles vary according to organizational contexts. Millennials are confronted with change management, where organizational readiness to adapt is critical to success. Adaptive leadership, a key strategy in managing change, is crucial. Through William Tanuwijaya's leadership at Tokopedia, millennial leadership characteristics prioritizing social and environmental issues, sustainability, and the implementation of sustainable values are evident, alongside collaboration with the government to create an inclusive environment and focus on innovation and digital transformation in the economy. Leaders like William Tanuwijaya start by building teams consisting of celebrities or public figures in Indonesia to promote Tokopedia and strengthen the company's image while formulating the company's vision and initiatives, motivating employees, overcoming obstacles such as improving work efficiency, implementing successful minor changes, ensuring smooth change integration, and making change an integral part of the organizational culture and system.<strong></strong></p>

Shaping governance through social media: A review of Chinese government strategies and public engagement (2013-2023)

This systematic literature review employs the PRISMA framework to assess the literature of Chinese government social media (GSM) from 2013 to 2023. Utilizing a mixed-methods approach that combines bibliometric and content analysis, this review investigates the evolving use of GSM in China. The bibliometric analysis reveals significant trends in research focus and methodologies over the decade, indicating a shift towards more qualitative and mixed-method approaches as the complexity of digital governance increases. Content analysis further delineates these findings into specific themes: governance strategies and implementation, technological evolution, and the audience. Through the examination of these themes, the review highlights how Chinese GSM has been strategically used to foster a more transparent and engaging government presence online, facilitating improved public services and citizen involvement in governmental processes. This study also incorporates a brief cross-analysis to explore the interactions between different research dimensions, offering nuanced insights into the dynamics of GSM applications. This research underscores the critical role of social media in shaping modern governance, suggesting that ongoing technological adaptation and strategic communication are essential for enhancing public engagement and trust in the context of China. The findings advocate for continued research and policy development to leverage the potential of GSM fully, ensuring that digital governance strategies remain responsive to technological advancements and evolving public expectations.

Co-design: From Understanding to Prototyping an Adaptive Learning Technology to Enhance Self-regulated Learning

Co-design: From Understanding to Prototyping an Adaptive Learning Technology to Enhance Self-regulated Learning

EFFECTIVENESS OF DUOLINGO IN FOREIGN LANGUAGE LEARNING

This study aims to explore the efficiency of Duolingo as a language learning tool, with a particular focus on its gamified nature, adaptive learning technology and strategic use of notifications. In this regard, the study employed qualitative research design wherein two semi-structured interviews were held. Specifically, these participants were housewife who had been using Duolingo daily for almost 37 days to learn English and a student who was intermittently using it to learn Turkish. In conclusion, these findings show that apart from being interactive and engaging, Duolingo significantly improves vocabulary and grammar skills. Furthermore, such game-like features as rewards, competitions and streak counts act as strong incentives for continued usage. Additionally, customized messages delivered in real time can help in bringing back users into the application and ensuring daily routine learning is maintained. Nevertheless, despite its pros there are several cons that have been found; they include restriction of lives in free version and lack of practice realistic communication scenarios. Accordingly, researchers recommend introducing artificial intelligence for improved speaking practice and enhancing the number of lives to further improve the functionality of DuoLingo.com. These facts help give more insights on how digital tools can support language acquisition across diverse contexts. Key words: Duolingo, Language Learning, Gamification, Vocabulary, Grammar and Motivation.

A Novel Framework for Multimodal Brain Tumor Detection with Scarce Labels.

Brain tumor detection has advanced significantly with the development of deep learning technology. Although multimodal data, such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT), has potential advantages in diagnostics, most existing studies rely solely on a single modality. This is because common fusion methods may lead to the loss of critical information when attempting multimodal fusion. Therefore, effectively integrating multimodal data has become a significant challenge. Additionally, medical image analysis requires large amounts of annotated data, and labeling images is a resourceintensive task that demands experienced professionals to spend a considerable amount of time. To address these challenges, this paper introduces a new unsupervised learning framework named Double-SimCLR. This framework builds on the foundation of contrastive learning and features a dual-branch structure, enabling direct and simultaneous processing of MRI and CT images for multimodal feature fusion. Given the "weak feature" characteristics of CT images (e.g., low soft tissue contrast and low resolution), we incorporated adaptive weight masking technology to enhance CT feature extraction. Moreover, we introduced a multimodal attention mechanism, which ensures that the model focuses on salient information, thereby elevating the precision and robustness of brain tumor detection. Even without substantial labeled data, experimental results demonstrate that Double-SimCLR achieves 93.458% accuracy, 92.463% precision, and a 93.058% F1-score, outperforming state-of-the-art (SOTA) models by 2.871%, 2.643%, and 3.098%, respectively.

Predictors of Sustainable Tourism Development during the Post-Pandemic Period in Bangladesh

The goal of this study was to examine the predictors of sustainable tourism development during the post-COVID-19 pandemic period in the context of Bangladesh. Quantitative-type research was applied, and this study used a descriptive research design. A standardized questionnaire was used to collect 302 data points from actual indigenous tourists using an online purposive sampling method. A partial least squares structural equation modeling (PLS-SEM) approach was used to evaluate the data and test the hypotheses. The results of the PLS-SEM analysis method demonstrate that environmental integrity, social equity, economic prosperity, and technological adaption had a positive relationship with sustainable tourism development during the post-COVID-19 pandemic period in Bangladesh. This research article provides practical guidelines for tourism authorities (BTB, BPC, and so on) and stakeholders on how to effectively impact environmental integrity, social equity, economic prosperity, and technological adaption on sustainable tourism development during the post-COVID-19 pandemic period in the context of Bangladesh. This study recommends that influential strategic factors be utilized to develop a sustainable tourism business in Bangladesh, positioning it as an emerging tourism destination.

Feasibility Study of Technology Footwork Ability Test on National Disability Badminton Athletes

Technological advances in sports testing and measurement are expanding, but there is a notable gap in research focused on physical conditioning tests for athletes with disabilities. This study aims to evaluate the effectiveness of footwork ability test technology for para badminton athletes. A quantitative descriptive design was employed, involving trials with both the footwork ability test technology and conventional methods. The subjects were National Para Badminton Athletes of Malaysia, selected through purposive sampling for their relevance to the research objectives. The study utilized a footwork ability test device, whose validity and reliability were assessed in comparison to conventional tests. Data were analyzed using percentage calculation techniques to determine effectiveness and error rates. Results indicate that the footwork ability test technology achieved an effectiveness rate of 97.1%, demonstrating superior performance with a lower error rate than conventional tests. This indicates the technology's suitability for athletes with disabilities, including those categorized as lower standing, upper standing, and short stature. The findings suggest significant potential for broader application in various sports disciplines. Future research should explore the technology's adaptability to different sports and environmental conditions, contributing to more inclusive and advanced training methodologies for athletes with disabilities.

Design and Development of Virtual Reality Application Implementing Age-Friendly Care and the 4Ms: A Quality Improvement Project.

With an increase in the aging population, the application of evidence-based practice in geriatric education can strengthen knowledge, skills, and clinical experience for healthcare students caring for older adults. The Age-Friendly Health System (AFHS) is one of the frameworks founded on providing evidence-based and low-risk care centered on what matters most to older adults, their families, and caregivers. Virtual reality (VR) platforms are gaining popularity due to their ability to provide an immersive, hands-on learning experience resembling an actual medical practice or care setting. Immersive learning enhances students' sensory perceptions, promoting an innovative and engaging way of acquiring concepts that are difficult to teach in real life. This study aimed to design, develop, implement, and evaluate a case-based training module highlighting AFHS and educating medical students on the 4Ms approach in geriatric care (What Matters, Medication, Mentation, and Mobility). The project was a feasibility study completed in two phases. Phase one included planning and developing a case-based scenario incorporating the 4Ms of AFHS. Phase two included implementing and evaluating the VR training module into the geriatric curriculum for medical students. The final VR case displays a hospital and post-acute setting where an elderly patient is admitted for a hip fracture. Students learn how to triage and treat patients from admission to discharge while demonstrating their knowledge of AFHSs. Approximately 10% of students completed the evaluation survey, and preliminary results indicate significant knowledge change in pre-post scenario-based training on an AFHS. The VR education platform and embedded scenario promise an innovative adaptation of technology in learning the concepts of the 4Ms of AFHSs. However, future studies should explore VR education with clinical assessment evaluation to ensure competence in providing age-friendly care.

Adaptive Learning Models for Diverse Classrooms: Enhancing Educational Equity

This review paper explores the transformative potential of adaptive learning models in promoting educational equity. Adaptive learning systems leverage advanced algorithms and digital tools to provide personalized instruction tailored to individual student needs, enhancing academic outcomes and fostering greater engagement and confidence. The theoretical foundation of adaptive learning aligns with constructivist and socio-cultural theories, emphasizing the importance of personalized and differentiated instruction. Evidence suggests adaptive learning improves academic performance among diverse and underserved student populations. However, significant barriers to implementation persist, including technological, financial, and pedagogical challenges, as well as ethical considerations related to data privacy and algorithmic fairness. The paper highlights the implications of these findings for educational policy and classroom practice, advocating for equitable access to adaptive learning technologies and comprehensive professional development for educators. The evolution of adaptive learning, driven by advancements in artificial intelligence and machine learning, promises further educational equity and inclusivity advancements. Keywords: Adaptive Learning, Educational Equity, Personalized Instruction, Digital Tools

‘My body was no longer a problem’: Electric mountain biking, disability, and the cultural politics of green exercise

AbstractDisability is often overlooked in discussions of green exercise. Consequently, we still know little about how ableist ideologies might play out in the context of nature engagement, or the forms of pleasure that disabled people derive from participation in green spaces. In this paper, we address this gap in the literature by exploring the relationship between electric mountain biking and disability in England (UK). Adopting the work of Bernard Stiegler, we highlight the superficiality of existing ideologies of nature, analyse the myriad ways that e‐mountain bikes can challenge ableist attitudes towards outdoor recreation, and explore the freedoms and constraints that accompany the assemblages between e‐mountain bikes and ‘disabled’ bodies. Drawing on data from 20 online interviews, we highlight the social contexts and interactions that shape technological choices, adaptations, and outcomes within the disabled e‐mountain bike community. Our analysis reveals that, while e‐mountain bikes are stigmatised in green spaces, the enhanced level of social interaction that is afforded by the presence of such technology allows participants to de‐emphasise their perceived physical inadequacy and, instead, focus on promoting a more empowering image of the socio‐technical disabled body that is active, capable and self‐determined.

Advancing physical activity research methods using real-time and adaptive technology: A scoping review of “no-code” mobile health app research tools.

Advancing physical activity research methods using real-time and adaptive technology: A scoping review of “no-code” mobile health app research tools.