Collaborative Nature Research Articles

Planar polarized force propagation integrates cell behavior with tissue shaping during convergent extension.

Convergent extension (CE) is an evolutionarily conserved developmental process that elongates tissues and organs via collective cell movements known as cell intercalation. Here, we sought to understand the mechanisms connecting cell behaviors and tissue shaping. We focus on an often-overlooked aspect of cell intercalation, the resolution of 4-cell vertices. Our data reveal that imbalanced cellular forces are involved in a timely vertex resolution, which, in turn, enables the propagation of such cellular forces, facilitating the propagation of tissue-scale CE. Conversely, delayed vertex resolution leads to a subtle but significant change in tissue-wide cell packing and exerts a profound impact by blocking force propagation, resulting in CE propagation defects. Our findings propose a collaborative nature of local cell intercalations in propagating tissue-wide CE. It unveils a multiscale biomechanical synergy underpinning the cellular mechanisms that orchestrate tissue morphogenesis during CE.

"Understanding dementia together": The design, delivery and evaluation of a collaborative, inter-professional dementia workshop for healthcare students.

A collaborative, multi-disciplinary team input is crucial for the optimal management of the older adult with complex care needs such as dementia. Interprofessional learning (IPL) at undergraduate level can lead to improved collaborative knowledge and skills. The aim of this study was to develop, deliver and evaluate an IPL dementia workshop for healthcare students across 11 disciplines. A secondary aim was to determine whether there is a clinical application of learned knowledge in students who completed the workshop and subsequently underwent clinical placement. The design of the IPL workshop aligned with Kern's map for the development of a curriculum in medical education. The Alzheimer's Disease Knowledge Scale (ADKS) was used to assess students' knowledge of dementia pre-and-post workshop, as well as opened-ended questions on role recognition and communication. A total of 102 students completed the workshop questionnaire, with a follow up of 47 students on clinical placement. There was a statistically significant increase in students' knowledge and confidence levels in communication with a person with dementia. Students reported positively on the workshop format, the collaborative nature of the workshop, as well as the role of the patient advocate. The follow up of students on clinical placement showed a perceived behavioural change in communication modification. Our study demonstrates the benefits of an IPL initiative across multiple disciplines, with perceived behavioural change on clinical placement.

Mutualism: a model for managing risk in P2P sharing

Abstract This article explores how the risk structure currently adopted by the sharing economy, in particular the highly formalised and contrived systems of contract constructed by platforms, is largely constituted by the rules of property law. This effectively ties sharing activities to the old model of private property and its accompanying boundaries of privatised risk and value and undermines the efforts of collaboration to supersede those boundaries through peer-to-peer co-production of value. This article aims towards presenting an alternative model of risk distribution for the sharing economy that is more reflective of its collaborative nature. To this end, I will draw on ideas from commons and mutualism and propose the possibility of creative use of contracts to stipulate positive duties and obligations between collaborative partners as a device to construct a collective and/or mutual risk system.

Penanganan Sengketa Pertanahan dalam Perspektif Agraria

Dispute is an inseparable part of conflict, which can occur in various aspects of daily life. Studying disputes is crucial to understand their nature and resolution methods. This research uses a normative research method with prescriptive research specifications and a comparative, conceptual, and historical approach. Data is collected through a bibliographic study from primary, secondary, and tertiary legal sources. Land conflicts are often caused by issues such as boundary disputes, inheritance, state land control, and legal uncertainty in land tenure, which fundamentally stem from the imbalance of land rights ownership and uncontrolled land conversion. Land dispute resolution can be carried out through litigation and non-litigation pathways. The litigation pathway offers legal certainty, execution power, and transparency but has weaknesses in terms of cost, time, and its confrontational nature. Conversely, the non-litigation pathway is more efficient in terms of cost, time, and its collaborative nature, but is limited in terms of execution and legal certainty. Therefore, the choice of dispute resolution method must consider the characteristics of the dispute and the needs of the parties involved.

Feasibility of prospective error reporting in home palliative care: A mixed methods study.

Prospectively tracking errors can improve patient safety but little is known about how to successfully implement error reporting in a home-based palliative care context. Explore the feasibility of implementing an error reporting system in a home-based palliative care program in Toronto, Canada, and describe the possible factors that may influence uptake. A convergent mixed-methods approach was used. Participants prospectively documented errors using a novel reporting tool and completed monthly surveys. Following the reporting period, we conducted a semi-structured interview exploring participants' experiences and perceived factors influencing reporting behaviors. Error, survey, and interview data were analyzed separately, then integrated for comparison. Thirteen palliative care physicians from a single home-based palliative care organization in Toronto, Canada anonymously reported errors between October 2021 and September 2022. Of these, six participated in the exit interview. Participants reported 195 errors; one-third (n = 65) involved internal staff or systems. Three themes describe the factors impacting the likelihood of reporting errors: (1) High levels of cognitive burden decreases the likelihood of error reporting; (2) Framing errors as opportunities to learn rather than reason for punishment improves likelihood of error reporting; (3) Knowing that error data will improve patient safety motivates individuals to report errors. Physicians are amenable to error reporting activities so long as data is used to improve patient safety. The collaborative nature of care in a home-based palliative care context may present unique challenges to translating error reporting to improved patient safety.

A novel method for identifying key nodes in multi-layer networks based on dynamic influence range and community importance

Identifying key nodes in multi-layer networks is a hot research topic in complex network science and has broad application prospects, such as in mining enterprises that significantly affecting multi-layer industrial chains. Unlike single-layer networks, nodes in multi-layer networks exhibit heterogeneity due to varying connections and locations. There are also correlations between different network layers, which is particularly evident in industrial chains where companies operate across multiple layers of production, supply and distribution. It is necessary to consider the impact of these layers on the global performance of key node identification. In addition, due to changes in connections, the community structure of each network layer should be different, reflecting the dynamic nature of industrial collaborations and partnerships. However, existing research lacks the model that addresses the above problems. Therefore, this paper proposes a key node identification method based on Dynamic Influence Range and Community Importance (DIRCI), using both local and global information of the multi-layer network simultaneously. DIRCI determines the importance of nodes through three centrality measures: dynamic influence range-based centrality, network layer centrality and community-based centrality. Dynamic influence range-based centrality models node heterogeneity by combining the influence range of nodes and their neighbors with lower computational costs. Network layer centrality captures the corresponding importance for different network layers. Community-based centrality comprehensively considers the importance of community, the importance of each node within the community and between different communities. Experimental results for nineteen multi-layer networks show that DIRCI achieves better performance of key node identification than the latest algorithms.

Blockchain Consensus Mechanisms: A Bibliometric Analysis (2014–2024) Using VOSviewer and R Bibliometrix

Blockchain consensus mechanisms play a critical role in ensuring the security, decentralization, and integrity of distributed networks. As blockchain technology expands beyond cryptocurrencies into broader applications such as supply chain management and healthcare, the importance of efficient and scalable consensus algorithms has grown significantly. This study provides a comprehensive bibliometric analysis of blockchain and consensus mechanism research from 2014 to 2024, using tools such as VOSviewer and R’s Bibliometrix package. The analysis traces the evolution from foundational mechanisms like Proof of ork (PoW) to more advanced models such as Proof of Stake (PoS) and Byzantine Fault Tolerance (BFT), with particular emphasis on Ethereum’s “The Merge” in 2022, which marked the historic shift from PoW to PoS. Key findings highlight emerging themes, including scalability, security, and the integration of blockchain with state-of-the-art technologies like artificial intelligence (AI), the Internet of Things (IoT), and energy trading. The study also identifies influential authors, institutions, and countries, emphasizing the collaborative and interdisciplinary nature of blockchain research. Through thematic analysis, this review uncovers the challenges and opportunities in decentralized systems, underscoring the need for continued innovation in consensus mechanisms to address efficiency, sustainability, scalability, and privacy concerns. These insights offer a valuable foundation for future research aimed at advancing blockchain technology across various industries.

Toward a community‐engaged framework for urban soil research

AbstractResearchers in urban environments sample where people live and work. However, there is limited extant guidance available to scientists engaging with community stakeholders to sample soils in urban settings. Leveraging our cumulative experiences, insights gained from community collaborations, and interdisciplinary literature, we present a community‐engaged framework for urban soils research. Community‐engaged research frameworks emerged over the past two decades to foster trust and respect between communities and researchers as a response to historical exploitation of communities by the academy. Today, these frameworks have become standard for social and public health researchers investigating the physical well‐being of communities. However, there is no equivalent framework for scientists studying the soils that underpin the physical and ecological well‐being of the same communities. Here, we present the first such framework for soil scientists that incorporates nuanced aspects that are often overlooked. Our proposed framework recognizes the iterative nature of collaboration with community stakeholders and highlights the significance of ethical considerations throughout the research process by emphasizing protection of community stakeholders from harm, involvement of all parties in decision‐making processes, maintaining informed consent, and fostering mutual accountability among researchers throughout the research and sampling process.

Analysis of the Impact of Social Media as a Learning Tool in Language Subjects

Analysis of the Impact of Social Media as a Learning Tool in Language Subjects

Exploring the Lived Experiences of Members of a Faculty Research Hub Design Team in a College of Education at an HSI

ABSTRACT Researchers used a transcendental phenomenological approach to explore the experiences of faculty members in a Faculty Research Hub design team at a Hispanic-Serving Institution. Through data analysis, several themes emerged: (1) Support and leadership, (2) Commitment to improvement, (3) Individual motivation, (4) Structure and collaborative nature of the team, (5) Small team size with diverse expertise, and (6) Faculty learning and development. These themes align with the input, process, or outcome stages of Binkhorst et al.’s (2015) integrative descriptive framework for Teacher Design Teams (TDTs). The study suggests that Hispanic-Serving Institutions aspiring to become R1 institutions should consider implementing and evaluating Faculty Design Teams (FDTs) to enhance faculty research productivity and doctoral student success.

Toward multimodal learning analytics in simulation-based collaborative learning: A design ethnography of maritime training

AbstractCollaborative learning in high-fidelity simulators is an important part of how master mariner students are preparing for their future career at sea by becoming part of a ship’s bridge team. This study aims to inform the design of multimodal learning analytics to be used for providing automated feedback to master mariner students engaged in collaborative learning activities in high-fidelity navigation simulators. Through a design ethnographic approach, we analyze video records of everyday training practices at a simulator center in Scandinavia, exploring (a) how feedback is delivered to students during collaborative activities in full-mission simulators and (b) which sensors are needed and why they are needed for capturing the multimodal nature of professional performance, communication, and collaboration in simulation-based collaborative learning. Our detailed analysis of two episodes from the data corpus shows how the delivery of feedback during simulations consists of recurring, multidimensional, and multimodal feedback cycles, comprising instructors’ close monitoring of student’s actions to continuously assess the fit between the learning objectives and the ongoing task. Through these embedded assessments, feedback that draws on the rich semiotic resources of the simulated environment, while considering aspects of realism and authenticity, is provided. Considering the multidimensional and multimodal nature of feedback in professional learning contexts, we identify technologies and sensors needed for capturing professional performance in simulated environments.

Thermoelectric Materials: A Scientometric Analysis of Recent Advancements and Future Research Directions

This scientometric study looks at the current trend in thermoelectric materials research and explores the evolving domain of thermoelectric materials research using a combination of bibliometric and scientometric methodologies. The analysis examines global research trends from a dataset of over 37,739 research articles, focusing on thematic evolution, annual growth rates, and significant contributions. Six principal research clusters were identified, encompassing energy conversion, material synthesis and nanostructures (the most prominent cluster), computational modeling and material properties, measurement and characterization, material performance enhancement, and material processing and microstructure. Each cluster highlights a critical aspect of the field, reflecting its broad scope and depth. The key findings reveal a marked annual increase in research output, highlighting the growing global importance of thermoelectric materials in sustainable energy solutions. This is especially evident in the significant contributions from China and the USA, emphasizing their leadership in the field. The study also highlights the collaborative nature of thermoelectric research, showing the impact of global partnerships and the synergistic effects of international collaboration in advancing the field. Overall, this analysis provides a comprehensive overview of the thermoelectric materials research landscape over the past decade, offering insights into trends, geographic contributions, collaborative networks, and research growth. The findings underscore thermoelectric materials’ vital role in addressing global energy challenges, highlighting recent advancements and industrial applications for energy efficiency and sustainability.

Rapid foresight: Information technologies in Physics lessons

Abstract This research, conducted as part of the curriculum in the discipline of Modern Learning Technologies, explores strategies for improving the training of future teachers in response to the dynamic educational landscape. The discipline is an integral component of the educational program designed for students aspiring to become educators. A total of 12 students participated in the study, engaging in a collaborative and iterative process to identify key areas for enhancement in teacher training. The rapid evolution of learning technologies necessitates a proactive approach in preparing future teachers for the challenges and opportunities in the educational landscape. In this study, students enrolled in the educational program for prospective teachers played an active role in the research process. The objective was to leverage the insights and perspectives of these students to identify areas for improvement in teacher training. Twelve students participating in the study were enrolled in the Modern Learning Technologies course. This cohort engaged in a rapid foresight approach, involving activities such as focus group discussions, brainstorming sessions, and collaborative workshops. The methodology aimed to gather diverse opinions on emerging trends in education and technology and to envision potential future scenarios. The findings of the study highlighted key trends in modern learning technologies, including advancements in educational technology, shifts in learning preferences, and evolving classroom dynamics. Students actively contributed to scenario-building exercises, providing valuable input into the skills and competencies they deemed essential for future teachers. The assessment of current teacher training programs revealed areas where adjustments and enhancements were deemed necessary. The active involvement of students in the research process proved to be instrumental in gaining firsthand insights into the needs and expectations of future educators. Collaborative workshops facilitated a co-creation of strategies for improving teacher training programs, ensuring that the enhancements were aligned with the dynamic nature of the educational environment. This research, conducted within the framework of the Modern Learning Technologies course, emphasizes the significance of involving students in the foresight process for enhancing teacher training. The collaborative and iterative nature of the approach ensures that the strategies developed are responsive to the evolving trends and needs in education. As the educational landscape continues to evolve, incorporating student perspectives into teacher training becomes imperative for fostering effective and adaptive educators.

Underwriting syndicate structure and foreign IPO underpricing: A team production perspective

Grounded in team production and agency theory, we investigate investment bank opportunism in the context of 466 foreign initial public offerings (IPOs) in U.S. equity markets from 2009 to 2023. Findings reveal that IPO underpricing is higher for foreign firms underwritten by larger and more diverse syndicates owing to concerns about free-riding and moral hazard. Our results are robust to a series of sensitivity tests. Moreover, frequent foreign IPOs by home-country firms and strong home-country legal protection for investors attenuate the positive relationship between underwriting syndicate size and diversity and IPO underpricing. By delineating the collaborative nature of IPO underwriting, this study offers new insights into the implications of syndicate structure for foreign IPO performance.

AI Telco Research: Advancements in Telecommunications Scientific Discovery

This article explores the transformative impact of Artificial Intelligence (AI) on telecommunications research and development. It examines how the integration of AI technologies is revolutionizing various aspects of the industry, including network optimization, spectrum management, and scientific discovery. The article highlights the synergy between human expertise and AI capabilities in enhancing research processes, improving data analysis, and driving innovation. Key areas of focus include AI-powered data analysis, network behavior simulation, signal processing enhancements, and the evolving nature of human-AI collaboration in telco research. The article also addresses challenges such as data privacy and algorithmic bias, while emphasizing the potential of AI to unlock new possibilities in telecommunications, from self-optimizing networks to quantum communication systems.

Refik Anadol’s AI-Based Digital Art and Its Intellectual Connotations

This article delves into the digital art produced by the internationally renowned Turkish artist Refik Anadol and his team, emerging at the intersection of diverse disciplines such as mathematics, physics, computer science, and aesthetics, within the context of its intellectual connotations. This qualitative study encompasses 26 projects featured on the Refik Anadol Studio’s website. In addition to the projects, we utilize as data sources the videos, visuals and texts that are available on the website, Anadol’s social media posts, audience comments, interviews, academic articles, and news and critiques related to his works. We analyze the works in the context of the artistic creation process, the nature of the technological collaboration, the relationship established with memory, time, space and audience, particularly in the context of the meanings they signify, and we assess the data we obtain along with their philosophical connections. In short, Anadol transforms public data such as images, sounds, and social media posts that constitute collective memory into art with the aid of digital technology capabilities, especially artificial intelligence, creating in these works molecular, fluid, transient intermediate spaces by superimposing different temporal and spatial layers, images, and realities. Through art, he opens up for discussion questions such as what is the position of the artist in the age of artificial intelligence; how art can help us understand the relationship between the virtual and the real; and what it means to experience memory in the digital age. The heterotopic spaces he constructs in his works offer utopian imagery which suggests a life based on peace, optimism, and relationship shared among humans, nature, and other forms of existence.

Study of the Accuracy and Reliability of Dosimetric Measurements for X-ray Beams with Radiation Qualities N-40, N-100, N-200

Radiation dosimetry is a critical aspect of medical, industrial, and scientific applications involving ionizing radiation. Accurate measurements of radiation doses ensure the safety and effectiveness of radiological practices, which is essential for protecting patients in medical procedures, maintaining safety in industrial applications, and ensuring accuracy in scientific research. Leading international organizations conduct research aimed at improving measurement accuracy and the dissemination of measurement units. One of the methods contributing to this effort is various international projects. The National Scientific Centre “Institute of Metrology” has participated in one such international project. This international project, involving several National Metrology Institutes (NMIs), aimed to improve the accuracy and consistency of radiation dosimetry across Europe. By standardizing measurement and calibration procedures, the project seeks to create a unified system for measuring radiation doses, thereby improving the reliability of ionizing radiation dosimetry. This project is particularly significant given the continuous increase in radiation-based technologies across various fields. For example, precise measurements of ionizing quantities are crucial in the medical field, especially for radiotherapy, to ensure that patients receive the necessary dose with minimal exposure to surrounding healthy tissues. Similarly, in industrial radiography, accurate dosimetry is essential for meeting safety standards and preventing excessive radiation exposure to workers. The international project, with the Physikalisch-Technische Bundesanstalt (PTB) and the Central Office of Measures (GUM) as leading organizations, aims to improve key factors in ionizing radiation dosimetry. These include developing reliable calibration protocols for various types of radiation, establishing traceability chains to ensure measurement accuracy, and sharing best dosimetry practices among project participants. Preliminary comparisons were performed between NMIs, with two control participants serving as references while other NMIs participated anonymously (knowing only their number and the numbers of the reference participants). Each participant had the opportunity to compare their obtained values with the reference values and make adjustments for future measurements. The collaborative nature of such cooperation also promotes knowledge and experience exchange, fostering innovation and improvement in dosimetry techniques. The NSC “Institute of Metrology”, a leading organization in the field of the ionizing radiation metrology, has actively participated in this project as a representative from Ukraine. The paper presents the results of international comparisons for X-ray beams with the radiation qualities N-40, N-100, N-200.

A Framework for Estimating Economic Impacts of Ecological Restoration

Ecological restoration projects are designed to improve natural and cultural resources. Spending on restoration also stimulates economic impacts to the restoration economy through the creation or support of jobs and business activity. This paper presents accessible methods for quantifying the economic impacts supported by restoration spending and is written to be a guide and toolbox for an interdisciplinary audience of restoration practitioners and economists. Measuring the economic impacts of restoration can be challenging due to lacking or limited data. The complex, collaborative, and heterogeneous nature of restoration projects can make it difficult to clearly track costs, contributing to limited availability and inconsistency in restoration cost data. And business classification systems, such as the North American Industrial Classification System (NAICS), do not include restoration-sectors that consistently describe the patterns of restoration spending. The aims of this paper are to (1) provide restoration practitioners and program managers with a clear understanding of the application of economic impact analyses to restoration, (2) provide a framework for collecting project cost data for economic impact analyses, and (3) provide modeling best practices and an example application of the framework.

Plurilingual literary writings as tools to develop students’ creativity

In an era marked by rapid change, educators face a persistent call to nurture creativity in students, prompting them to explore innovative solutions. This study investigates the role of students’ plurilingual resources in fostering creativity within a foreign language classroom at secondary school level. Students collaboratively produced literary writings (songs, poems, and short stories) in which they applied their plurilingual resources (all of languages they knew). This case study employs a bottom-up approach to analyse students’ texts to determine whether facilitating the use of their diverse linguistic resources, including the blending of codes and modes, acts as a catalyst for creativity. The research results indicate that the foreign language classroom can indeed serve as a platform for students to engage in various forms of language creativity. The findings also suggest that encouraging students to utilize their diverse linguistic resources enhances language creativity. Additionally, the analysis highlights that the collaborative nature of the task supports the notion that exploring multiple solutions, rather than adhering to a single correct answer, fosters creativity. Furthermore, evidence indicates that creating a safe environment for learners is crucial for encouraging playful and unconventional language use for creative purposes.

Informal Language Learning in Online Interest Communities: A Review of Selected Research Methods

Online interest groups respond to different social and emotional needs of their members. Web 2.0 allows them not only to receive and consume online content but also to participate, create, and share. Thus, these groups can also function as communities where informal language learning can occur naturally or with the help of others. This process and learning experience are worth studying, given the learner’s autonomy and, at times, the collaborative nature of this process. The objective of this article is to reflect upon English language learning in online interest-driven groups, focusing on the strengths and weaknesses of selected research methods such as virtual ethnography, grounded theory, and mixed methods. These methods may be helpful for researching informal language learning in online interest communities, as they may enable an in-depth examination and a better understanding of the researched context.