Knowledge Transfer Research Articles

Development of English Board Learning Media to Increase Learning Motivation in English Subjects in Grade 3 of Elementary Madrasah

Students are less motivated to follow the English learning process. The methods and approaches used by teachers are less interesting to students, still centered on the teacher. This study developed English board learning media, and to increase student enthusiasm and make it easier for teachers to transfer knowledge to students. English Board is expected to be fun, interesting, and motivating, and not make students bored when participating in English learning activities. The "English Board" learning media can increase student enthusiasm in learning and provide a pleasant learning experience for students. English Board media uses a research and development model. This study was only conducted in five stages, namely: 1) potential and problem stage, 2) data collection stage, 3) product design stage, 4) product validation stage, and 5) product revision stage. The results of the media validity obtained an average percentage of 89.77%, this result is included in the category of very good or very suitable for use in implementing English learning activities.

Mitigating not-invented-here syndrome in consultant knowledge transfer by developing appropriate implementation guidelines

Purpose This study aims to propose a framework for the development of implementation guidelines (IGs) that can help consultants mitigate not-invented-here (NIH) syndrome during a consultant intervention as a specific type of knowledge transfer. Design/methodology/approach The authors adopted a design science research approach for proposing an NIH-mitigating IG development framework. Inspired by findings and rich primary data from two consultant interventions, the authors, through theory building, ground five core principles in the general theory of NIH attitude functions. Finally, the authors revisit two consultant interventions to identify and describe mechanisms that led to the enactment of the principles. Findings The proposed framework provides five principles for developing NIH-mitigating IGs. The present research proposes that successful knowledge transfer and the mitigation of NIH syndrome as a prerequisite for this success are conditioned by adequately developed IGs. Originality/value The originality and value of the present research lie in the proposed NIH-mitigating IG development framework containing a set of principles for IG development as a proactive rather than reactive approach to NIH mitigation. To the best of the authors’ knowledge, this is the first research to address the problematics of mitigating NIH syndrome in consultant knowledge transfer by focusing on developing appropriate IGs. By developing and implementing IGs based on the proposed framework, a more successful transfer of knowledge from consultants to clients should take place, thus, increasing the value that clients receive from consultancy.

Construction of Disaster-aware Communities through Local Wisdom and Social Media

The social construction process runs simultaneously. The utilization of local wisdom and social media is the result of the community construction process. Disaster-aware communities can utilize local wisdom and social media to overcome flood disasters. This research aims to analyze the construction of a disaster-aware community in Wonoasri Village, including the use of local wisdom and social media to overcome disasters. This research uses the construction theory of Berger and Luckmann. The research method used was a qualitative method with a phenomenological approach. Purpose sampling techniques were used to collect research informants. Data collection through observation, interviews, FGD, and documentation. The validity of the data using triangulation and data analysis using interactive models. The research results show that the social construction process runs simultaneously. The social construction process of the community starts from community experience, which shapes community knowledge about floods, the formation of Destana, and the transfer of knowledge, to the utilization of local wisdom and social media to overcome floods in Wonoasri Village.

A review on adversarial–based deep transfer learning mechanical fault diagnosis

Mechanical equipment is a vital foundational support for promoting national economic development and is widely utilized in key sectors such as aerospace, shipping, construction machinery, energy, petrochemicals, and robotics. With the advancement of artificial intelligence and industrial intelligence, industrial big data and its intelligent analysis provide robust support for fault prediction and health management of equipment. Building on existing research, intelligent diagnostics for mechanical equipment based on deep learning have gained significant attention and application. However, the success of big data relies on comprehensive fault data, which is challenging to obtain in practical applications where continuous equipment operation is essential. Moreover, mechanical equipment often operates under varying conditions, leading to different data distributions for training and testing. This discrepancy can result in low diagnostic accuracy or even failure of deep learning methods. Deep Transfer Learning (DTL) is an emerging machine learning paradigm that not only leverages the advantages of deep learning (DL) in feature representation but also harnesses the strengths of transfer learning (TL) in knowledge transfer. Consequently, DTL techniques can make deep learning-based fault diagnosis methods more reliable, robust, and applicable, leading to extensive development and research in the field of intelligent fault diagnosis. This paper primarily introduces adversarial-based deep transfer learning (ADTL) models, which are fundamentally based on Generative Adversarial Network (GAN). We provide a detailed discussion of the main applications of ADTL and its recent developments in intelligent fault diagnosis, along with some future challenges and prospects.

Lightweight Implementation of the Signal Enhancement Model for Early Wood-Boring Pest Monitoring

Wood-boring pests are one of the most destructive forest pests. However, the early detection of wood-boring pests is extremely difficult because their larvae live in tree trunks and have high invisibility. Borehole listening technology is a new and effective method to detect the larvae of insect pests. It identifies infested trees by analyzing wood-boring vibration signals. However, the collected wood-boring vibration signals are often disturbed by various noises existing in the field environment, which reduces the accuracy of pest detection. Therefore, it is necessary to filter out the noise and enhance the wood-boring vibration signals to facilitate the subsequent identification of pests. The current signal enhancement models are all designed based on deep learning models, which have complex scales, a large number of parameters, high demands for storage resources, large computational complexity, and high time costs. They often run on resource-rich computers or servers, and they are difficult to deploy to resource-limited field environments to realize the real-time monitoring of pests; as well, they have low practicability. Therefore, this study designs and implements two model lightweight optimization algorithms, one is a pre-training pruning algorithm based on masks, and the other is a knowledge distillation algorithm based on the separate transfer of vibration signal knowledge and noise signal knowledge. We apply the two lightweight optimization algorithms to the signal enhancement model T-CENV with good performance outcomes and conduct a series of ablation experiments. The experimental results show that the proposed methods effectively reduce the volume of the T-CENV model, which make them useful for the deployment of signal enhancement models on embedded devices, improve the usability of the model, and help to realize the real-time monitoring of wood-boring pest larvae.

Knowledge Organization Capability and Competitiveness of Chartered Public Universities in Kenya

Purpose: Knowledge has increasingly become one of the most critical determining factors for organizational competitiveness. In order to acquire and sustain a competitive advantage, it is vital for an organization to develop effective strategies that foster knowledge creation, transfer and integration in the performance of the organization. Knowledge organization refers to activities such as document description, indexing, and classification that provide systems of representation and order for information and knowledge materials. The purpose of this study was to establish the relationship between knowledge organization capability and competitiveness of chartered public universities in Kenya. Methodology: The study adopted a descriptive design. The population of the research consisted of 31 chartered public universities authorized to operate in Kenya as at December 2020. The study adopted a census methodology while purposeful and convenient sampling was adopted to select respondents amongst the middle level management staff. The study used both secondary and primary data. A self-administered questionnaire was used as the primary data collection instrument. Out of 155 questionnaires that were sent out, 123 were filled and returned. Statistical Package for Social Studies (SPSS) was used for data analysis. The study used regression model to estimate the level of significance which yielded a positive and significant influence of knowledge organization capability on competitiveness of chartered public universities in Kenya. Findings: The findings indicate that organizational initiatives such as effective knowledge collaboration and utilization, deployment of information technology systems that support knowledge organisation and easy access to information and data contribute to a healthy environment conducive for knowledge management. Owing to the foregoing, the study concluded that knowledge organization capability had a significant positive impact on competitiveness of chartered public universities. Unique Contribution to Theory, Practice and Policy: The study recommended that public universities needed to embrace knowledge organization capability in order to obtain sustainable competitive advantage.

Learnable feature alignment with attention-based data augmentation for handling data issue in ancient documents

Recognizing ancient cursive handwritten characters presents unique challenges due to the diversity of writing styles and significant class imbalances, where some characters have disproportionately more samples than others. This imbalance leads to higher misclassification rates for minority classes compared to majority classes. To address these challenges, we propose a novel framework that integrates learnable channel and spatial attention modules to effectively align features between source and target domains for better representation. Our approach incorporates a learnable sequential feature alignment process that dynamically adjusts to the specific characteristics of the data, enhancing the transfer of knowledge across domains. Furthermore, we introduce an attention-based augmentation module to amplify the influence of tail classes. This module leverages class activation maps to identify and augment discriminative features, ensuring the model focuses on the most semantically rich regions, particularly for minority classes. As a result, it aligns the weight norms of minority classes with those of majority classes, effectively mitigating the limitations posed by imbalanced class distributions. This approach effectively mitigates the constraints posed by imbalanced character distributions in ancient handwritten documents. The proposed method increases the accuracy for the CCR, Hanja, Nancho, and Kuzushiji datasets.

Hestia to Demeter: Reducing Agrochemical Pollution to Empower Women Farmers

The 2020 Farm to Fork strategy by the European Commission aimed to reduce agrochemical pollutants and protect biodiversity but stirred controversy due to conflicts between intensive agriculture demands and environmental priorities. Strict limits on agrochemical residues required farmers to produce less. The de-intensification and agroecology prone policy impacted livelihoods, sparking political upheaval. Due to lack of pesticide alternatives and extension services, Lebanese exports have faced challenges complying with residue restrictions. Agricultural laborers and consumers are exposed to high levels of pesticide residue. Undocumented refugee women form a significant part of the agricultural workforce, and women led agricultural cooperatives have minimal access to funding, exacerbating gender inequity. The American University of Beirut (AUB) has played a pivotal role in agroecology research, rural development, and gender equity. Knowledge transfer promotes civic awareness and private sector partnerships. Local Natural enemies and parasites emerged as a residue-free alternative to agrochemicals. Biocontrol-based integrated pest management holds great potential for mitigating pesticides hazards to human and environmental health. Launching the “natural predators” initiative from women-run farms holds a great promise in dually resolving the problems of agrochemical pollution and gender equity in the agricultural sector. Empowering women in agriculture aims to transform their role from care work to farm management. This paper focuses on the technical aspects of developing “natural enemies” as pesticides alternative for Lebanese agriculture, aiming to overcome export challenges and revitalize the economy. "Farm to Fork meets Hestia to Demeter" underscores AUB's commitment to sustainability aligns climate action with gender equity. By supporting women entrepreneurs and addressing climate change's impact on public health, the initiative contributes to AUB's broader mission of advancing Lebanon and the region through Education for Sustainable Development.

Using advanced computing to improve outcome monitoring in substance use disorder treatment in Alaska

Abstract Issue In Alaska, crime associated with substance misuse is a massive public health and safety concern costing over $2.3 billion annually. Government officials make substantial investments to address this challenge but have little ability to monitor the long-term effectiveness of these interventions. Treatment providers are also stifled by minimal feedback regarding their lasting impact. While government databases exist that contain relevant information related to long-term treatment outcomes, low knowledge transfer continues to occur between these big data systems and treatment providers. Description To determine if emerging database technology can effectively monitor long-term recidivism outcomes, a prototype was implemented by Alaska’s leading treatment provider, Set Free Alaska. The Recidivism Tracking Interface is an innovative database system that strategically connects treatment records with the criminal justice system database. While maintaining high confidentiality and security standards, the first-of-its-kind interface assessed long-term recidivism outcomes of Set Free Alaska’s former clients from 2010 to 2023. Results Of those who successfully completed treatment (n = 970), only 12.06% were convicted of a new crime with an average of 1,167 days between discharge and new criminal charges. The current recidivism rate in Alaska is 66.3%. In addition to recidivism outcomes, the interface also revealed data incredibly useful for informing treatment services and relapse prevention practices. The Recidivism Tracking Interface effectively demonstrated that advanced computing systems can be utilized to monitor long-term outcomes in a manner that was previously unavailable to treatment providers. Lessons In the age of advanced cloud computing and generative AI, treatment providers around the world and their government partners can overcome current knowledge transfer barriers to monitor long-term outcomes in a manner that is automated, inexpensive, and easy to use. Key messages • Advanced computing offers new opportunities to improve long-term outcome monitoring. • Expanding secure access to relevant government databases can ultimately improve treatment outcomes and advance outcome-based funding models.

Konsep Tarbiyah, Ta’lim, dan Tadris dalam Al-Qur’an

The problem in this research is the discovery of errors in interpreting the concepts of tarbiyah, ta'lim and tadris in the world of education. The Al-Quran explains the many meanings of these tarbiyah, ta'lim and tadris. The aim of this research is to discuss the meaning of the concepts of tarbiyah, ta'lim and tadris contained in the Al-Qur'an in order to provide a very relevant understanding. The theories used are the concepts of tarbiyah, ta'lim and tadris. Data collection for this research used qualitative methods which were carried out by means of literature studies taken from several tafsir books, journals and other sources relevant to the topic. The results of this research are that the tarbiyah concept is aimed at an educator to teach step by step following one process after another. This concept term is often used in the world of undergraduate education. The concept of ta'lim itself tends to provide knowledge at an adult level or in other terms, knowledge transfer. This concept is often used in study groups. Meanwhile, the concept of ta'lim is often used in formal education, as this concept involves students, an educator is only a guide and director

Home-based nursing care for clients carrying multidrug-resistant organisms: a focus group study

Abstract Background The growing population of vulnerable clients receiving home-based nursing care, combined with the worldwide increase in the prevalence of multidrug-resistant organisms (MDROs), poses a new burden on nursing staff. This study aimed to gain insight into the experiences, attitudes, perceptions, dilemmas in daily practice and needs of nursing staff providing home-based nursing care for clients carrying MDROs. Methods Seven focus group discussions with home-based nursing staff (N = 34) were performed in the Netherlands between April and July 2022, using a semi-structured, open-ended topic list based on the I-change model and seven domains synthesized by Flottorp et al. Data were analysed using thematic analysis. Results Home-based nursing staff often considered infection prevention and control recommendations inconsistent, unclear or inapplicable in daily practice. Although participants acknowledged the importance of these precaution measures, their proportionality was sometimes questioned. Participants indicated to be influenced by perceptions, knowledge and behaviour of their colleagues and clients. In addition, they frequently experienced untimely, incomplete or inconspicuous information transfers about clients carrying MDROs. Concerns were expressed that clients were often insufficiently informed, debating the roles and responsibilities of involved healthcare professionals in providing and exchanging information. Finally, participants elaborated on the effect of the covid-19 pandemic and expressed the need for organisational support in providing education and sufficient resources regarding MDROs. Conclusions Insights of this study have aided in aligning upcoming MDRO guidelines for home-based nursing care in the Netherlands. Organisational support in expanding knowledge and providing sufficient resources is essential and clarity about roles and responsibilities of involved healthcare professionals regarding information transfer and informing patients is needed. Key messages • Expanding knowledge, sufficient resources and adequate information transfer about MDRO carriage are essential to ultimately prevent transmission and spread of MDROs. • The specific context of home-based nursing care for clients carrying MDROs should be acknowledged in MDRO guidelines.

The French experiential knowledge resource center: strengthening and extending its scope of action

Abstract Issue The national committee for experiential knowledge in health promotion (EKHP) aims to promote EKHP and improve professional practices. Since 2017, the committee has created methods and toolkits formalizing the capitalization of EKHP. The levers to put the method into practice are in place, now comes the time to find the best means to foster promotion and appropriation of EKHP works. Description of the problem The national EKHP resource center has been launched in May 2022, online: www.capitalisationsante.fr. It acts as a database where HP practitioners can read, download and upload EKHP capitalization works (∼12-page documents detailing one HP intervention each) and cross-analyses reports. It is driven by three main objectives: 1/ promoting and disseminating HP practitioners’ experiential knowledge, 2/ building a community of practice to improve capitalization practices and 3/ making a useful and transferable data available to practitioners. Results The now two-year-old website has been visited by 32 000+ individuals. More than 120 works, 12 cross-analyses are published. They were submitted by trained HP practitioners and reviewed by an editorial board before publication. The national EKHP resource center offers insight on how HP interventions work from practitioners themselves who share knowledge on their implementation. Compared to best-practices portals, it offers an innovative bottom-up approach to knowledge transfer. The community of practice (CoP) now supports a network of 200+ trained practitioners. This CoP aims to improve knowledge management and ensure the quality of the works produced. Surveys and feedback show that both building up and accessing EKHP meet a high level of interest. Lessons The innovative bottom-up approach and the focus on knowledge management can serve as a model for other settings/countries. In 2024, levers of appropriation will be investigated and collaboration with other HP resource centers will be better identified. Key messages • The now two-year-old national NEKHPRC enhances EK’s part in the HP field by making otherwise unknown data available to the French-speaking HP community. • Building of a strong community of practice ensures the high quality of the bottom-up approach to the uploading of the works.

Building Resilience: Strengthening European public health workforce through ECDC Fellowship Programs

Abstract The European Centre for Disease Prevention and Control (ECDC) Fellowship programmes offer a two-year training in field epidemiology (EPIET) and in public health microbiology (EUPHEM) aiming to create and maintain a network of highly trained field epidemiologists and public health microbiologists and strengthen the public health epidemiology workforce in the European Union (EU) and beyond. The Mediterranean and Black Sea Programme for Intervention Epidemiology Training (MediPIET) also aims to strengthen the public health workforce in countries neighboring the EU. During the training, fellows who are based in different public health institutes in the EU and neighboring countries, set-up, implement and evaluate surveillance of communicable diseases, investigate outbreaks and conduct operational research directly linked to public health actions. The programmes facilitate knowledge exchange and collaboration across borders, building a foundation for participants and their institutions and promoting long-term collaboration through the alumni network. Participants from diverse disciplinary and cultural backgrounds enable interdisciplinary and multi-sectoral knowledge transfer, enhancing the effectiveness of public health responses. By facilitating collaboration and networking, exchanging experiences, disseminating best practices and assimilating lessons learned, these programmes contribute to addressing contemporary health challenges, including emerging vector-borne diseases and strengthening public health systems in Europe and neighboring regions. In the face of global challenges such as climate change and globalization, the fellowships exemplify how collaboration can strengthen Europe’s defenses against emerging health threats.

Correlates of using behavioural sciences to design health promotion interventions and programs

Abstract Background The World Health Organization highlighted the need to better integrate behavioural science in the field of public health. Based on the theoretical domains framework, this study examined correlates of public health practitioners’ use of behavioural science principles to plan public health actions aim at promoting physical activity and healthy eating. Methods This study adopted a cross-sectional design. A convenience sample of 160 public health practitioners were recruited from different public health agencies (non-profit organizations, governmental and para-governmental agencies). They were asked to complete a survey questionnaire online and self-reported their use of behavioural science to plan health promotion interventions. Regression analyses were conducted to examine correlates of behaviour and behavioural intentions. All analyses were controlled for sex, number of years of experience in public health and the type of organization they work for. Results Skills (OR = 4.1, 95%CI: 1.3, 13.5) and intentions/goals (OR = 9.2, 95%CI: 2.3, 36.1) were the two domains significantly associated with the use of behavioural science. Perceived capacity to overcome the fact that none of their colleagues rely on behavioural sciences in their organization (OR = 7.2, 95%CI: 1.7, 30.3) was also associated with behaviour. Knowledge (OR = 8.6, 95%CI: 1.9, 39.1) and beliefs about consequences (OR = 4.0, 95%CI: 1.1, 14.7) were in turn associated with intentions/goals. Conclusions This unique study provides important insights for the development of future knowledge transfer activities aim at supporting positive attitudes and motivations toward the use of behavioural science as well as developing competencies and a normative use of behavioural science. The development of a strong knowledge basis would also need to be a core component of trainings to support the integration of behavioural science in public health to design physical active lifestyles and healthy eating interventions. Key messages • Increasing knowledge and skills in behavioural sciences is a key for a better integration in public health practices. • Changes in norms and attitudes toward the use of behavioural sciences will also support a better uptake.

3.I. Scientific session: Increasing EU preparedness and improving European Vaccination Beyond COVID-19: the EUVABECO approach

Abstract This workshop provides a platform for delegates to enhance their understanding of the interdisciplinary approach developed in the European Vaccination Beyond COVID-19 (EUVABECO) project, funded under the European Commission’s EU4Health programme. The project is to build and validate implementation plans for EU Member States (MS) to equip them with operational and technical tools to enhance vaccination practices both in routine vaccination and in case of future outbreaks. Validation will be based on innovative practices that emerged in the context of the COVID-19 pandemic. Ultimately, EUVABECO will provide MS with robust implementation plans for common tools to support said innovative vaccination practices, thus, enhancing preparedness and increasing resilience against future health threats in Europe and globally. Guided by two chairs, the workshop is structured around five brief interactive presentations to deliver the conceptualisation, methodologies, and early results and vision for vaccination beyond COVID-19. It is designed to highlight how project activities strengthen resilience and increase preparedness against communicable diseases across the EU and beyond its borders, whilst brokering dialogue on related public health priorities. The presentations will focus on: 1. Preparing for future public health crises by fostering a conducive environment. 2. Enhancing preparedness by developing robust implementation plans. 3. An interdisciplinary approach: Exploring the five dimensions (medical/clinical, social, industrial, modelling and forecasting, and digital) of the tools deployed by EUVABECO. 4. The vital role of stakeholders and of the National Immunization Technical Advisory Groups (NITAGs). 5. Future actions and a call for ongoing support and collaboration in a structured manner. The session will also give the opportunity to formally present EUVABECO’s multistakeholder approach and to formally launch the EU Vaccination Stakeholder Forum, where early access will be granted to EU MS for the various resources generate. This will allow the audience to give input about the needs of the broader public health community involved in vaccination across the EU, for the Stakeholder Forum to effectively promote and support: • The scaling up of existing implementation plans within MS; • The development of new implementation plans for additional tools; • Integration between public health and primary care; • Inform the targeted interaction with EU and MS bodies involved in related policies and decision-making. The presentations will be augmented by real-time polling to maximize participant engagement. This approach will maximize interaction whilst eliciting critical insights into stakeholders’ knowledge, attitudes, and practices concerning EUVABECO’s tools and strategies. This type of engagement will ensure effective knowledge transfer and a comprehensive understanding of the project’s objectives and implementation strategies. Key messages • Enhancing vaccination preparedness requires an evidence-based and harmonized set of tools to be deployed across EU MS. EUVABECO will deliver validated implementation plans to achieve this. • An interdisciplinary approach and multistakeholder engagement are critical for evidence-informed decision-making and harmonization to successfully deploy vaccination initiatives across the EU.

Needs Assessment for Primary Care for Best Practice Implementation: The CIRCE Joint Action

Abstract Introduction CIRCE is a Joint Action (JA) supporting the transfer of six best practices (BPs) to new primary care settings in Europe. High-quality needs assessment can set the foundation for strong planning and implementation of the CIRCE-JA best practices in these new primary care settings. Methods A needs assessment tool was developed based on the TO-REACH knowledge transfer framework and learnings from a scoping review of international knowledge transfer frameworks. The needs assessment provides structured tool for local sites to self-assess the alignment of the BP with local priorities, readiness of the local site to successfully implement the BP, the availability of necessary leadership, resources and partnerships, and an examination of barriers to local BP implementation and mitigation strategies. Results Twenty-six CIRCE-JA teams completed the needs assessments. Local teams identified the CIRCE-JA BPs were value-adding and aligned with local priorities. Cross-cutting barriers were identified which were common among the six CIRCE-JA best practices across five thematic areas: (1) provider level, (2) intervention level, (3) health system/policy level, (4) partnership and physical resources and (5) information technology. The needs assessment supported primary care sites with a structured approach to planning for transfer of BPs to their local setting that is based on established international best practices and knowledge transfer frameworks including early identification of barriers and mitigating strategies. Conclusions The needs assessment has supported teams with conducting a self-assessment and informing initial planning for adoption of the BP in their local primary care practice. Given the importance of the local needs assessment to high quality implementation of BP the CIRCE-JA experience with local needs assessment may provide learnings for future BP transfer initiatives. Key messages • Local needs assessment supports the transfer of best practices to primary care settings, which is a critical component of service transformation during the post-COVID-19 period. • For successful transfer of best practices in primary care, it is vital to give to examine such as provider capacity, available human resources, health policy, and information technology.

The Effect of Project-Based Learning (PBL) Method on Improving Students' Writing Ability

Education plays a crucial role in shaping intelligent, moral and responsible individuals. The project-based learning (PBL) model emerges as an innovative approach that focuses not only on knowledge transfer, but also the development of students' critical skills, creativity and collaboration. This study aims to analyze the effect of PBL on students' writing ability compared to conventional learning methods. Through a literature study, the data sources obtained show that PBL increases students' engagement, confidence, and in-depth understanding of the material. Students are actively involved in project planning and implementation, which allows them to apply knowledge in a real context, resulting in a more meaningful learning experience. The findings confirm the importance of PBL as an effective method in improving students' writing skills, as well as providing recommendations for educators to integrate PBL in the educational curriculum to create a generation that is ready to face global challenges.

The Connotation of Embodied Development Model in Physical Education Teaching Situation and its Practical Enlightenment

This study focuses on the problem of situation creation in school physical education curriculum. Compared with traditional physical education classroom teaching, supported by embodied cognition theory, the connotation of physical education teaching situation, embodied performance in the process of motor skill acquisition, situation creation ideas and cases, and embodied situation theoretical model are studied and discussed. The traditional physical education teaching situation is separated from the learning of motor skills. The context should be based on ontological motion perception and interaction with the real environment. Propose the teaching situation of “body perception, consciousness strengthening and environment embedding” and consider the characteristics of learning content, the authenticity of the teaching environment, the use and transformation of site equipment, while having operability, as well as the transfer of knowledge and skills.

G.O.O.S.E.: Introducing a novel five‐stage structured framework for the early phases of teaching and learning ultrasound

AbstractThe sonography profession faces a critical global workforce shortage, particularly pronounced in Australia, due to insufficient clinical training opportunities and an ageing workforce. The financial burden and increased scan times associated with training exacerbate this issue. Innovative approaches, such as intensive ultrasound courses and pair scanning protocols, have shown promise in addressing these challenges. The GOOSE framework (Get the window, Optimise the view, Optimise the image, Select the image, Explain the findings) offers a structured, step‐by‐step approach to practical sonography training. This framework deconstructs complex ultrasound skills into manageable tasks, optimises cognitive load management, and provides explicit guidance for novice learners. The GOOSE framework is designed to enhance the efficiency of teaching and learning by simplifying complex skills into clear, actionable steps, supported by checklists that guide both instructors and students through the training process. The GOOSE framework offers a systematisation of knowledge transfer that, combined with deliberate practice and structured feedback, ensures learners progressively build their skills with focused, goal‐directed activities. While this model is yet to be validated, initial implementations have shown promising results in improving trainee performance, reducing supervision workload, and standardising instructional methods. This article outlines the principles of the GOOSE framework, its development, and its application in a specialised training facility, proposing it as a standardised model to enhance practical ultrasound education and improve teaching and learning efficiency.

A Multi-Hierarchical Complementary Feature Interaction Network for Accelerated Multi-Modal MR Imaging

Magnetic resonance (MR) imaging is widely used in the clinical field due to its non-invasiveness, but the long scanning time is still a bottleneck for its popularization. Using the complementary information between multi-modal imaging to accelerate imaging provides a novel and effective MR fast imaging solution. However, previous technologies mostly use simple fusion methods and fail to fully utilize their potential sharable knowledge. In this study, we introduced a novel multi-hierarchical complementary feature interaction network (MHCFIN) to realize joint reconstruction of multi-modal MR images with undersampled data and thus accelerate multi-modal imaging. Firstly, multiple attention mechanisms are integrated with a dual-branch encoder–decoder network to represent shared features and complementary features of different modalities. In the decoding stage, the multi-modal feature interaction module (MMFIM) acts as a bridge between the two branches, realizing complementary knowledge transfer between different modalities through cross-level fusion. The single-modal feature fusion module (SMFFM) carries out multi-scale feature representation and optimization of the single modality, preserving better anatomical details. Extensive experiments are conducted under different sampling patterns and acceleration factors. The results show that this proposed method achieves obvious improvement compared with existing state-of-the-art reconstruction methods in both visual quality and quantity.