Collaborative Mode Research Articles

Shimada Yoshiko’s repertoire of remembrance: art activism as a response to Japanese colonialism and military sexual violence

ABSTRACT In 2003, amidst escalating tensions encapsulated by the US-led invasion of Iraq and Afghanistan, the artist Shimada Yoshiko staged a series of anti-war performances under the umbrella of the global Women in Black movement, invoking the spectre of Japan’s WWII aggression in Asia to catalyse a collective response towards violence and its erasure. This article revisits a selection of artworks that she produced between 1993 and 2003, showing how these works illustrate the formation of a feminist aesthetic for ‘doing’ activism against violence. It locates the political role of collaborative modes of remembrance within her practice, centring the citational, performative and embodied dimensions of her strategies for addressing the gender-specific violence of Japanese colonialism epitomized by the ‘comfort woman’ system of military sexual slavery established by the Imperial Japanese Armed Forces from 1932 to 1945. Drawing on Diana Taylor’s (2003) theorization of the embodied ‘repertoire’ as an epistemic site that resists the violence of the colonial archive, and Nicholas Mirzoeff’s (2020) account of ‘devisualizing’ as an ethos of undoing scopic regimes formed around colonial structures of domination, I contend that Shimada’s activist repertoire embeds a practice of critiquing the relationship between visuality, coloniality and violence.

Constructive Strategies for Enhancing Public Engagement in County Governance: A Focus on Nandi, Kenya, 2024.

Abstract: This article examined the effectiveness of constructive strategies for engaging the public in county governance in Nandi County, Kenya, 2024. It highlighted that the legal and institutional framework has not ensured public participation as intended by the Kenya 2010 constitution. The study’s objectives included examining the effectiveness of constructive strategies for engaging the public in county governance in Nandi County. It utilised Adam Smith’s Rational Choice Model and employed a concurrent mixed research design, incorporating purposive sampling. Data was collected through questionnaires and interviews, with secondary data from document analysis. Analysis was done using a statistical package for the social sciences for descriptive statistics, and qualitative data was processed through thematic analysis. Devolution in Kenya, implemented in 2013, shifted responsibilities to county governments to enhance transparency and public participation. It allowed citizens to elect local leaders and engage in decision-making, promoting responsive governance. The County Government Act (2012) emphasises timely access to information and the role of non-state actors in fostering citizen involvement. The findings revealed that the most common mode of collaboration was electing project leaders. However, many individuals were unaware of the importance of participation, leading to low engagement, especially in project identification and implementation. The primary source of information on development projects was barazas (public meetings). The study concluded that public participation in development projects is below desired levels as per the County Government Act and recommended that Nandi County should improve public engagement across all sectors for a more significant impact on constructive strategies.

Generative Literature: The Role of Artificial Intelligence in the Creative Writing Process

This study explores the emerging phenomenon of AI-generated literature and its implications for creative writing, focusing on the characteristics of AI-generated texts, the impact of AI-human collaboration on the creative process, and the challenges posed by these technologies for traditional concepts of authorship, originality, and creativity. Through a comparative analysis of selected AI-generated literary works and a case study of the "Pharmako-AI" project, this research reveals the distinct stylistic, thematic, and structural features of AI-generated literature, as well as the complex dynamics of AI-human collaboration in the creative process. The findings suggest that while AI can serve as a powerful tool for creative exploration and experimentation, it also has limitations in terms of consistency, coherence, and emotional depth, and requires significant human input and judgment to shape the final literary output. The study contributes to the understanding of AI in creative writing by providing concrete insights into the capabilities and limitations of these technologies, and by highlighting the need for new frameworks and models to understand the nature of creative agency in the age of AI. The implications of AI-generated literature for the field of literature and future literary practices are discussed, including the potential for new forms of literary expression, new modes of authorship and collaboration, and new challenges to traditional concepts of originality and creativity. The study concludes with recommendations for future research, emphasizing the need for interdisciplinary collaboration and the development of new theoretical and methodological approaches to analyze and evaluate AI-generated literature.

Collaboration of IoT devices in smart home scenarios: algorithm research based on graph neural networks and federated learning

Traditional IoT device collaboration is usually static and cannot adjust the collaboration mode between devices according to various changes, which limits work efficiency. To this end, an IoT device collaboration optimization algorithm based on graph neural network and federated learning is studied. This method abstracts various IoT device nodes and their communication relationships into graph structured data for storage, and then uses federated learning to train the graph convolutional network with graph structured data. The obtained model can be used to optimize the collaboration mode of IoT devices. During the training process, the total average MSE (mean square error) between the output and the label of the graph convolutional network model based on federated learning is 0.968; the total standard deviation of MSE is 0.0353; the total time from training to model convergence is 435.82 s, of which data transmission time accounts for 27.1% and model training time accounts for 72.9%. In a 2-h practical experiment, the graph convolutional network model based on federated learning was used to optimize the collaboration mode of smart homes, achieving a target environment residence time of 87 min and a total power consumption reduction of 0.69 kW·h. The results show that this method can effectively optimize the collaboration efficiency of IoT devices, reduce training time and network overhead, but it fails to improve the prediction accuracy of the model and may also lead to a decrease in stability.

AFFECTIVE TEMPORALITIES ON SOCIAL MEDIA: WORLD YOUTH DAY 2023

Post-secular pilgrimage is increasingly popular, affording communitas (Maddrell & della Dora, 2013) as well as collective effervescence (Serazio, 2013) to pilgrims. Pilgrimage can be augmented by digital media (Maddrell & della Dora, 2013), but pilgrims usually limit their access to habitual devices, people, and digital services during their pilgrimage (Jorge, 2023). This paper focuses on the case of the World Youth Day 2023, hosted in Lisbon, and seeks to explore the role of digital and social media in sustaining pilgrim communities as atmospheres developed through time flows (Hitchen, 2021). To such end, we use the notion of affective temporalities (Nikunen, 2023). We performed a content, multimodal analysis (Bouvier & Rasmussen, 2022) on the material gathered through searching Instagram, TikTok, Facebook, Giphy, and maps and apps related to the event. While Facebook groups allowed for coordination and peer support and advice, TikTok and Instagram afforded gains of visibility through hashtags. Giphy appears as a repository of humorous content from both official and vernacular cultures. As for apps and maps, they seemed to be more focused in the present, as they were helpful tools to navigate and manage the logistics of the event, but did not take on a collaborative mode. Anticipation, coordination and rememorating were shared affective temporalities shared by pilgrims through social media, through which communitas, effervescence and longing were processed.

Design and Application of Agricultural Integrated Management System Based on TLINK

With the continuous advancement of science and technology, the era of the Internet of Everything has arrived. Agricultural management is becoming more and more intelligent and refined. Agricultural Internet of Things technology is vital in data collection, transmission, user management, etc. To achieve a highly integrated and low-cost smart agriculture with data display. This paper designs an intelligent agricultural management system based on low-cost ESP8266 WIFI Internet of Things technology, aiming to transform traditional agricultural management into a smart, remote, and data-user collaborative mode. The system integrates sensor nodes such as temperature, humidity, light, and carbon dioxide to replace traditional industrial sensors for real-time agricultural environmental data collection, which can realise the automation of irrigation, ventilation, temperature control, lighting, etc. It can start the ecological control system through local voice control. WIFI data transmission, data management through the TLINK cloud platform, PC or mobile phone APP, online remote data viewing and control at any time for agricultural management. The experimental results show that the system has good stability, reliability, high integration, strong environmental adaptability, accurate data, and less packet loss. It dramatically reduces the cost of intelligent agricultural management and construction difficulty, bringing users higher economic benefits.

From Form to Fumbling: Reflections on Creating and Collaborating from Archival, Choreographic and Performative Perspectives

Abstract Frå Form til Famling / From Form to Fumbling premiered on 2nd November 2023 at Henie Onstad Art Center that takes its starting point in the material traces in the archive after Høvik Ballet. In this article, choreographer Solveig Styve Holte and performer Magdalene Solli reflect on the choreographic and performative parameters of this creation, with a focus on one piece of solo material that was included. How may archival material inform and transform how and what we create? In addition to investigating that topic, this article addresses how different modes of collaboration were explored in the creation process, as are recounted from choreographic and performative perspectives. This article is written from both perspectives, letting the different experiences from the process and the polyphony from the performance make it into the reflection at large. The process of engaging in transformation, transmission and transpositioning changes not only our understanding of the material but also our understanding of ourselves as dancers and choreographers. In that regard, this article recounts how our relation to the archive started, developed and transformed, both in our bodies and perceptions, during the long creative process. It also describes how the passing of time, and our time spent with the archives, affected us and the overall choreographic decisions made concerning the performance.

Exploring Language Teacher Education through Researcher-Practitioner Co-construction of Differentiated Instruction

Differentiated instruction has been advocated for embracing learner diversity, but it has been found that differentiated instruction implementation is difficult and teachers often feel unprepared. This qualitative case study explored the professional development of two English language teachers in two participating schools of a school-university collaboration project on diversity management in Hong Kong. Based on the data collected from co-planning meetings, lesson observations, semi-structured interviews, focus groups and artefacts, the study showed that research-informed teaching and teaching-informed research were both indispensable to differentiated instruction infrastructure building; school cultures and teacher efficacies both affected teachers’ attitudes towards researcher-practitioner collaboration modes for professional development. Teachers whose efficacy and professional learning community remained at a developing stage tended to rely on an expert-guided collaboration mode. Yet, those whose efficacy and professional learning community had advanced would prefer a more self-redirected learning mode. These findings shed light on bridging the researcher-practitioner divide in teacher education.

The regional mission in a merged multi-campus university college: a case study from Western Norway

ABSTRACT Recent years have seen an increasing institutionalisation of the regional mission of universities, coinciding with mergers of institutions from different regions to form large multi-campus universities that span across them. This study examines how such a merger has shaped the regional mission of a polycentric higher education institution in Western Norway. We find that even when the regional mission is at the core of a merged HEI’s identity, translating it into practice can be challenging because the regional mission can be understood and implemented in very different ways within the merged institution. These differences can emerge from the geographical stretch of merged multi-campus HEIs, exposing such institutions to several regional eco-systems with varying needs; from the identity stretch of old institutional structures, where pre-merger HEIs may have taken different roles in their respective regions; and from differences in modes of regional collaboration across faculties. Whilst managing the tensions that arise from these differences, merged multi-campus HEIs must also create synergies within the institution to serve regional needs better, on which the legitimacy of such mergers may critically depend. This in turn leads to a tricky balancing act between local adaptation and the harnessing of synergies within multi-campus HEIs. We conclude that managing these tensions effectively is key to successfully solving the regional mission for such institutions.

Co-design with children, families, and educators for understanding children’s digital life-worlds for play and learning

ABSTRACT The world is now recognised by many scholars as digitally networked, and it is known that children use technologies for play, learning, and development in their everyday lives. This implies that caregivers and educators need to address these experiences to optimise their response to children’s developmental needs. This has proven challenging as digital technologies are often regarded as hindering more traditional ‘hands-on’ forms of play and as a ‘problem’ that needs regulating. This paper therefore reports on examples from three separate studies of co-design research conducted with children, families, and educators for understanding children’s digital life-worlds for play and learning. By examining these three examples, our aim was to identify common elements of co-design evident in research with children and their adults directed towards addressing the problem of adult hesitancy regarding technology use by children in their play and learning. Five main findings were identified as central to the conduct of co-design research with children and their adults regarding children’s experiences with digital technologies. These were: Mode of action, Collaboration, Creativity, Agency, and Data. The findings are discussed in relation to research with children facilitating a cultural role in informing practice rather than a technical role.

Cooperation and Production Strategy of Power Battery for New Energy Vehicles Under Carbon Cap-and-Trade Policy

Considering the supply chain composed of a power battery supplier and a new energy vehicle manufacturer, under the carbon cap-and-trade policy, this paper studies the different cooperation modes between the manufacturer and the supplier as well as their strategies for green technology and power battery production. Three game models are constructed and solved, respectively, under the collaboration mode of wholesale purchasing, patent-licensed manufacturing, and own R&D + Wholesale purchasing. The equilibrium analysis is carried out. Finally, the influence of relevant parameters is explored through numerical simulation. It is found that (1) the manufacturer’s choice of optimal battery production strategy is influenced by the input cost of green technology, the production cost of power battery, the carbon trading price, and the free carbon quota allocated by the government; (2) the cost coefficient of technological innovation affects negatively the optimal decision-making of the supply chain members, the market demand, and the optimal profit, and it has no impact when the cost coefficient reaches a certain value; (3) carbon cap-and-trade policy can, to a certain extent, incentivize suppliers and manufacturers to carry out technological innovation to reduce carbon emissions in the production process, but we cannot ignore the negative impacts of excessively high carbon trading price on the level of emission reduction and the market demand; and (4) the government should reasonably control the carbon price and carbon quota. The above conclusion will provide reference suggestions for new energy vehicle manufacturers and related suppliers.

The suitability of skilled talent training in higher vocational colleges based on AI and 5G network connection in the context of educational transformation and upgrading

The development of artificial intelligence (AI) and 5G network technology has changed the production and lifestyle of people. AI also has promoted the transformation of talent training mode under the integration of college industry and education. In the context of the current transformation of education, AI and 5G networks are increasingly used in the education industry. This paper optimizes and upgrades the training mode of skilled talents in higher vocational colleges by using its advanced methods and technologies of information display. This means is helpful to analyze and solve a series of objective problems such as the single training form of the current talent training mode. This paper utilizes the principles and laws of industry university research (IUR) collaboration for reference to construct and optimize the talent training mode based on the analysis of the requirements of talent training and the role of each subject in talent training. Then, the ecological talent training environment can be realized. In the analysis of talent training mode under the cooperation of production and education, the correlation coefficients of network construction, environment construction, scientific research funds, scientific research level, and policy support were 0.618, 0.576, 0.493, 0.785, and 0.451, respectively. This showed that the scientific research level had the greatest impact on talent training in the talent training mode of IUR collaboration, while policy support had less impact on talent training compared with other factors. The combination of AI and 5G network technology with the talent training mode of IUR cooperation can effectively analyze the influencing factors and problems of the talent training mode. The hybrid method is of great significance to the talent training strategy and fitting degree.

Dynamic and efficient device collaborations in 5G‐advanced and 6G networks

AbstractCollaborative transmission, comprising multiple devices owned by a single user, is progressively evolving into an essential strategy to meet the stringent demands of burgeoning collaborative scenarios in 5G‐advanced and 6G networks. This paper proposes three novel use cases for device collaboration, namely data duplication, data splitting and wireless backup, to address these requirements. To provide dynamic and efficient collaboration, both non‐transparent mode via the medium access control layer collaboration and transparent mode via the physical layer collaboration are proposed. The paper further introduces a comprehensive design framework including protocol stack design, user equipment capability reporting, user equipment pairing, scheduling mechanism and transmission mechanism for different collaborative use cases with different collaborative modes. Evaluation outcomes reveal that the recommended methods could decrease the resources consumed for data duplication while increasing the user perceived throughput for data duplication and data splitting. The proposed methods also augment transmission reliability for both data duplication and wireless backup.

Exploring the effect of collaboration modes on firms’ breakthrough technological innovation: a perspective from the innovation ecosystem

PurposeBreakthrough technological innovation is of vital significance for firms to acquire and maintain sustainable competitive advantages. The construction of an innovation ecosystem and the interaction with heterogeneous participants have emerged as a new dominant model for driving sustained breakthrough technological innovation in firms. This study aims to explore the effects of collaborative modes within the innovation ecosystem on firms’ breakthrough technological innovation and the ecological legitimacy mechanisms involved.Design/methodology/approachThe research employs data from 212 innovative firms and conducts empirical research using a two-stage structural equation modeling (SEM) and artificial neural network (ANN) analysis.FindingsThe results indicate that firm-firm collaboration (FF), firm-user collaboration (FU), firm-government collaboration (FG), firm-university-institute collaboration (FUI) and firm-intermediary collaboration (FI) all have significant positive effects on breakthrough technological innovation (BTI), with FU being particularly crucial. Furthermore, the results confirm the positive moderating effects of ecological legitimacy (EL) on the relationships between FF and BTI, as well as between FU and BTI. Conversely, EL has a negative moderating effect on the relationship between FUI and BTI, as well as between FI and breakthrough technological innovation. Additionally, EL does not have a significant influence on the relationship between FG and BTI.Originality/valueThrough resource dependence theory (RDT), this study unveils the black box of how collaboration modes within innovation ecosystems impact breakthrough technological innovation. By introducing ecological legitimacy as a contextual factor, a new research perspective is provided for collaboration innovation within innovation ecosystems. The study employs a combination of SEM and ANN for modeling, complementing nonlinear relationships and obtaining robust results in complex mechanisms.

Analysis of virtual standardized patients for assessing clinical fundamental skills of medical students: a prospective study

BackgroundHistory-taking is an essential clinical competency for qualified doctors. The limitations of the standardized patient (SP) in taking history can be addressed by the virtual standardized patient (VSP). This paper investigates the accuracy of virtual standardized patient simulators and evaluates the applicability of the improved system’s accuracy for diagnostic teaching support and performance assessment.MethodsData from the application of VSP to medical residents and students were gathered for this prospective study. In a human–machine collaboration mode, students completed exams involving taking SP histories while VSP provided real-time scoring. Every participant had VSP and SP scores. Lastly, using the voice and text records as a guide, the technicians will adjust the system’s intention recognition accuracy and speech recognition accuracy.ResultsThe research revealed significant differences in scoring across several iterations of VSP and SP (p < 0.001). Across various clinical cases, there were differences in application accuracy for different versions of VSP (p < 0.001). Among training groups, the diarrhea case showed significant differences in speech recognition accuracy (Z = -2.719, p = 0.007) and intent recognition accuracy (Z = -2.406, p = 0.016). Scoring and intent recognition accuracy improved significantly after system upgrades.ConclusionVSP has a comprehensive and detailed scoring system and demonstrates good scoring accuracy, which can be a valuable tool for history-taking training.

Modes of Collaboration in a Collaborative Constitution

Modes of Collaboration in a Collaborative Constitution

Stability Analysis of Innovation Collaboration between Commercial Banks and Fintech Companies

Recently, there has been an increasing trend among commercial banks to collaborate with fintech companies in order to promote corporate innovation. However, due to the uncertainty and turbulence of the business environment, it is difficult for the collaborators to generate full trust to integrate knowledge and resources. Innovation collaboration often suffers from instability. The objective of this study is to identify the factors that influence the stability of innovation collaboration and clarify the path of collaboration evolution. Based on prospect theory and evolutionary game theory, this study first establishes an evolutionary game model between commercial banks and fintech companies (fintechs), and analyses the factors influencing the stability of their collaboration. The findings indicate that the benefits and costs of innovation collaboration, the fairness of income distribution, the complementarity of knowledge and technology, the synergy of collaboration, and the perceived value of gains and losses by partners all influence the stability of innovation collaboration. This study’s findings provide valuable guidance for banks and fintech companies to balance the benefits and costs of collaboration and improve the stability of collaboration. In the future, the government will be considered as a new game player, and bilateral relations will be considered as a new mode of collaboration in studying the stability of innovation collaboration.

Palliative care screening tools and patient outcomes: a systematic review

BackgroundPalliative care (PC) refers to providing patients with physical, psychological, mental, and other care and humanistic care services in a multidisciplinary collaborative mode with end-of-stage patients and family members as...

The impact of PACK on the adoption of Metaverse in Oman

In the rapidly evolving digital landscape, e-learning methods have emerged as a highly influential phenomenon in higher educational institutions. The adoption of e-learning has transformed traditional face-to-face teaching environments into flexible and collaborative modes of education through the utilization of the metaverse platform. However, limited research has addressed the educational aspect of students' adoption of the metaverse platform. This study aims to bridge this gap by examining a conceptual model that incorporates crucial factors such as Technological Pedagogical Content Knowledge (TPACK), Technology Self Efficacy (TSE), Perceived Enjoyment (PE), Perceived Complexity (PC), Perceived Value (PV), and Controlled immersion, interaction, and imagination (III). A survey involving 342 students from Omani universities was conducted, revealing that TPACK positively influences metaverse adoption. The noteworthy impact of perceived enjoyment, perceived complexity, and perceived value were also observed. These findings underscore the significance of these factors in shaping the adoption of the metaverse and enhancing the e-learning experience. The practical implication of this study emphasizes the need for educational institutions to develop strategies enhancing technological skills, engagement, and content relevance in e-learning, particularly in the metaverse, to improve student adoption and learning experiences. This involves focusing on technological pedagogy, student confidence in technology use, and creating immersive, enjoyable, and valuable learning environments.

Towards Human-AI Teaming to Mitigate Alert Fatigue in Security Operations Centres

Security Operations Centres (SOCs) play a pivotal role in defending organisations against evolving cyber threats. They function as central hubs for detecting, analysing, and responding promptly to cyber incidents with the primary objective of ensuring the confidentiality, integrity, and availability of digital assets. However, they struggle against the growing problem of alert fatigue, where the sheer volume of alerts overwhelms SOC analysts and raises the risk of overlooking critical threats. In recent times, there has been a growing call for human-AI teaming, wherein humans and AI collaborate with each other, leveraging their complementary strengths and compensating for their weaknesses. The rapid advances in AI and the growing integration of AI-enabled tools and technologies within SOCs give rise to a compelling argument for the implementation of human-AI teaming within the SOC environment. Therefore, in this article, we present our vision for human-AI teaming to address the problem of alert fatigue in the SOC. We propose the 𝒜 2 𝒞 Framework, which enables flexible and dynamic decision making by allowing seamless transitions between automated, augmented, and collaborative modes of operation. Our framework allows AI-powered automation for routine alerts, AI-driven augmentation for expedited expert decision making, and collaborative exploration for tackling complex, novel threats. By implementing and operationalising 𝒜 2 𝒞, SOCs can significantly reduce alert fatigue while empowering analysts to efficiently and effectively respond to security incidents.