28 papers · ranked by Valyu relevance
Fuhua Wang, Zuhua Jiang, Xinyu Li, Lingguo Bu + 1 more
As a complex cognitive activity, knowledge transfer is mostly correlated to cognitive processes such as working memory, behavior control, and decision-making in the human brain while engineering problem-solving. It is crucial to explain how the alteration of the functional brain network occurs and how to express it…
Xiaofang Xiong, Anandhan Hariharasudan
Digital transformation is a crucial strategy for enterprises to navigate the digital economy, leading to a growing number of organizations actively engaging in this process. However, the high failure rates in digital transformation initiatives have pushed both academia and industry to identify effective approaches. Key…
Eva Bibrack, Henrike Horneff, Katja Krumm, Jutta Hinrichs + 1 more
'Mira Mette'] Aim: Interprofessional education for health care professionals should be anchored at all training and study locations across Germany. In cooperation with the Medical Faculty Mannheim, an education concept trialed there, namely a longitudinal interprofessional learning sequence, was transferred and adapted…
Carina Lundmark, Jens Nilsson, Anna Krook-Riekkola
Knowledge transfer (KT) from academia to practice is important in many fields, but comprehensive studies on identifying the most effective forms of KT are scarce. This paper aims to provide an overview of KT theory and presents a cross-disciplinary scoping review of empirically oriented peer-reviewed articles. The…
Alisa Welter, Niklas Schneider, Tobias Dick, Kallistos Weis + 3 more
—Knowledge transfer is fundamental to human collaboration and is therefore common in software engineering. Pair programming is a prominent instance. With the rise of AI coding assistants, developers now not only work with human partners but also, as some claim, with AI pair programmers. Although studies confirm…
Joachim P. Sturmberg
The systemic failure of organisational learning should not come as a surprise - after all every system delivers exactly what it is designed for. Knowledge management/transfer is a property of the organisational system rather than a particular technique. Hence, knowledge management/transfer is about the contextual…
Shih-Liang Lee, Tsang-Kai Hung, Mu Tian
Exploring the relationship between characteristics of the source of knowledge and knowledge transfer performance seems to be crucial in order to make up for the lack of research on the political skills of knowledge sources in the process of knowledge transfer. For this reason, this study conducts a paired-sample…
Radosław A. Kycia, Agnieszka Niemczynowicz, Andrzej Buszko
This article is devoted to the process of diffusing tacit knowledge. This intangible asset has proven crucial for achieving a competitive advantage among market-oriented companies. A novel model of tacit knowledge diffusion is presented, employing the concept of heat diffusion from physics. Furthermore, graph theory…
Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu + 2 more
'Yaoyao Fiona Zhao'] Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts that haven't been mined and formalized in an…
Anamarija Kejžar, Katri Maria Turunen
Introduction This qualitative study addresses the essential yet often overlooked experiences of knowledge transfer within care homes (CH). Conducted in a Slovenian CH in 2020 and 2023, participants, including CH management, staff, and residents with their relatives, shared perceptions of knowledge transfer at various…
Dominik Garber, József Fiser
Transfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning in supervised or reinforcement learning for explicit knowledge, it is unknown whether such transfer occurs during…
Steven Fraser
Accelerating Innovation through Tech Transfer Authors: ['Steven Fraser'] [This experience report was originally posted by the Agile Alliance to their website as a companion to the XP2021 Agile Software Development Conference proceedings. Copyright is held by the author and the report is licensed for use under the terms…
Chin-Hsuan Sophie Lin, Trang Thuy Do, Lee Unsworth, Marta I. Garrido
Numerous studies have found that the Bayesian framework, which formulates the optimal integration of the knowledge of the world (i.e. prior) and current sensory evidence (i.e. likelihood), captures human behaviours sufficiently well. However, there are debates regarding whether humans use precise but cognitively…
Xia, Qing Nancy, Xia, Brumby + 3 more
Spreadsheet collaboration provides valuable opportunities for learning and expertise sharing between colleagues. Sharing expertise is essential for the retention of important technical skillsets within organisations, but previous studies suggest that spreadsheet experts often fail to disseminate their knowledge to…
Ludovic Maisonneuve, Laurent Lehmann, Charles Mullon
Natural selection shapes how individuals learn and acquire knowledge from their environment. Under the right conditions, this can lead to the evolution of learning schedules—how individuals allocate resources to acquire knowledge throughout their lifespan—that promote the accumulation of knowledge across generations…
Ludovic Maisonneuve, Laurent Lehmann
Learning is crucial for humans and other animals to acquire knowledge, enhancing survival and reproduction. In particular, individual and social learning allow populations to accumulate knowledge across generations. Here, we examine how stochasticity in the production and social acquisition of knowledge influences the…
Ludovic Maisonneuve, Laurent Lehmann
Learning behaviors are crucial for humans and other animals to adapt to their environment by acquiring and using knowledge that enhances survival and reproduction. In particular, some learning behaviors allow populations to accumulate knowledge across generations (‘cumulative knowledge’ or ‘cumulative culture’). Here…
Audrey Reeves, Amanda Bischoff, Brice Yates, Daniel Brauer + 1 more
The undergraduate transfer process has well-documented challenges, especially for those who identify with groups histori-cally excluded from science, technology, engineering, and mathematics (STEM) programs. Because transfer students gain later access to university networking and research opportunities than…
Kalle Koivisto, Toni Taipalus
Context: Knowledge is considered an essential resource for organizations. For organizations to benefit from their possessed knowledge, knowledge needs to be managed effectively. Despite knowledge sharing and management being viewed as important by practitioners, organizations fail to benefit from their knowledge…
Panjun Gao, Yong Qi, Qing Guo
Due to the backwardness of the management model and the rigidity of the system, the current service invention system restricts the transformation of scientific and technological achievements of colleges and universities to a certain extent. The mixed ownership system of university post achievements, which gives…
Derek van Tilborg, Helena Brinkmann, Emanuele Criscuolo, Luke Rossen + 2 more
Deep learning is becoming increasingly relevant in drug discovery, from de novo design to protein structure prediction and synthesis planning. However, it is often challenged by the small data regimes typical of certain drug discovery tasks. In such scenarios, deep learning approaches – which are notoriously…
Alenka Hribar, Annette Kilian, Claudio Tennie
Whether and how dolphins can engage in spontaneous, untrained social learning to solve novel tool problems via action- or result- (or other) social learning remains debated. In the present study we tested the spontaneous social learning abilities of six dolphins (all not trained to copy) on two tool-using tasks (what…
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras + 3 more
By combining machine learning with design of experiments, so-called active machine learning, more efficient and cheaper research can be conducted. Machine learning algorithms are more flexible, and are better at investigating the processes spanning all length scales of chemical engineering. While the active machine…
Annie Yuan
Expertise has long been explained through tacit knowledge, deliberate practice, skill acquisition, and expert performance. While these perspectives have advanced understanding of expertise, they often describe its conditions or outcomes rather than the cognitive architecture through which expertise continuously emerges…
Martin Starman, Fabian Kirchner, Martin Held, Catriona Eschke + 4 more
Electronic Lab Notebooks (ELNs) have become indispensable tools for modern research laboratories, facilitating data management, collaboration, and documentation of scientific experiments. However, the proliferation of diverse ELN platforms poses challenges for researchers who need to seamlessly exchange data between…
Authors not listed
Kinetic modeling is essential for predicting changes in food quality during processing and storage. This study evaluates the application of physics-informed neural networks (PINN) for food kinetic modeling, integrating kinetic insights into neural network frameworks. Based on three case studies, namely seed drying…
Authors not listed
A framework for catalysis based on categorical aperture selection rather than temporal acceleration is presented. Traditional catalysis theory describes catalysts as agents that accelerate reactions by lowering activation energies, implicitly treating time as the fundamental variable and reaction rate enhancement as…
Authors not listed
Classical and quantum mechanics laws are rebuilt in the framework of new thermodynamics: Electrons condense to form the hot protons and cool protons (neutrons), and then construct the nucleus by the thermal difference force. An atom is an adiabatic electron-gas system. Heat is the sum of variations in kinetic energy…