27 papers · ranked by Valyu relevance
Masaki Iino
This paper proposes Integrative Intelligence as an operative mode of human judgment in which temporal integration (past-present-future), contextual integration (roles, relationships, life domains), and embodied integration (body, emotion, thought, meaning-making) function simultaneously without fragmentation. It is not…
Gulsah Yildirim, John Willison, Brendan Bentley
Connection to nature has been recognized to be critical for health, wellbeing and eco-supportive actions. While measures of children’s connection to nature are relatively high, studies indicate a decline during early adolescence. Inconsistencies in existing research on conceptualization and measurement, along with the…
Thomas-Otavio Peulen, Andrej Sali
Fluorescence spectroscopic and imaging techniques, such as fluorescence-correlation spectroscopy, image correlation spectroscopy, time-resolved fluorescence spectroscopy, and intensity-based spectroscopy, can provide sparse time-dependent positional and inter-fluorophore distance information for macromolecules and…
Stephanie C. Leach, Hannah Hollow, Jiefeng Jiang, Kai Hwang
Adaptive behavior requires integrating information from multiple sources. These sources can originate from distinct channels, such as internally maintained latent cognitive representations or externally presented sensory cues. Because these signals are often stochastic and carry inherent uncertainty, integration is…
Wei Huang, Xiaofang Cai, Qiaozhen Guo, Xiaosong Wu + 1 more
The Management Information Systems (MIS) discipline has long grappled with how to theorize the complex, mutually constitutive relationships among people, information technology, and organizational structures. Decades of research have produced influential but fragmented theoretical streams from socio-technical systems…
Richard J. Hewitt
Integrative research approaches have lost prominence in the scientific literature, and related concepts of ‘wicked problems’ and ‘post-normal science’ complement but do not adequately replace them. From a detailed examination of the foundational literature, three key principles are shown to be central to integrative…
Marc T. Kiviniemi, Sarahmona M. Przybyla
Many “first generation” undergraduate public health degree programs were designed based on “siloed” course structures centered around subunits in the discipline (e.g., Introduction to Epidemiology, Introduction to Environmental Health) that may be meaningful primarily to experts in the field. An alternative to the…
Dimitar Georgiev, Simon Vilms Pedersen, Ruoxiao Xie, Álvaro Fernández-Galiana + 2 more
Raman spectroscopy is a non-destructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still impeded by the lack of software, methodological and data standardisation, and the…
Tim Schrills. Thomas Franke
For Human-AI Interaction (HAII) research to move forward, theoretical work linking psychological mechanisms to interface design is needed. Such work should extend rather than replace established HCI and automation research, adapting to the increasing autonomy and agency of AI systems. Building on prior frameworks…
Andrea I. Luppi, Pedro A.M. Mediano, Fernando E. Rosas, Judith Allanson + 10 more
A central goal of neuroscience is to understand how the brain orchestrates information from multiple input streams into a unified conscious experience. Here, we address two fundamental questions: how is the human information-processing architecture functionally organised, and how does its organisation support…
Bharat Mishra, Mohammad Athar, M. Shahid Mukhtar
More than 20% of the population across the world is affected by non-communicable inflammatory skin diseases including psoriasis, atopic dermatitis, hidradenitis suppurativa, rosacea, etc. Many of these chronic diseases are painful and debilitating with limited effective therapeutic interventions. However, recent…
Myung Ho Kim
We report the discovery of a meaningful structural convergence among four influential theories of mind— Kahneman's dual-system theory, Friston's predictive processing, Minsky's society of mind, and Clark's extended mind—through their unintentional but systematic emergence in a practical AI agent architecture called…
Authors not listed
The exponentially growing body of scientific literature has made manual synthesis and hypothesis generation increasingly impractical, introducing an essential bottleneck in the scientific discovery pipeline. While large language models (LLMs) have unprecedented capability to process and summarize textual knowledge…
Sandeep S. Nair, Vignayanandam R. Muddapu, C Vigneswaran, Pragathi P. Balasubramani + 3 more
Human cognition is characterized by a wide range of capabilities including goal-oriented selective attention, distractor suppression, decision making, response inhibition, and working memory. Much research has focused on studying these individual components of cognition in isolation, whereas in several translational…
Mohammad Saleh Torkestani, Taha Mansouri
This paper presents a theoretical framework for addressing the challenges posed by generative artificial intelligence (AI) in higher education assessment through a machine-versus-machine approach. Large language models like GPT-4, Claude, and Llama increasingly demonstrate the ability to produce sophisticated academic…
Nimra Akram, Atif Ahmad, Sean B. Maynard
The Advanced Dynamic Security Learning (DSL) Process Model is an Industry 4.0 cybersecurity incident response architecture proposed in this paper. This model addresses proactive and reflective cybersecurity governance across complex cyberphysical systems by combining Argyris and Schön's double-loop learning theory with…
Authors not listed
Chemical bonding, despite being fundamental to chemistry, lacks a universally agreed-upon quantum mechanical definition that captures all its facets across diverse molecular systems. Traditional models—Lewis structures, Valence Bond theory, Molecular Orbital theory, and the Quantum Theory of Atoms in Molecules…
Ksenija Lāce, Mārīte Kirikova
Post-merger integration states unique challenges for professionals responsible for information system integration aimed on alignment and combination diverse system architectures of merging organizations. Although the theoretical and practical guidance exists for post-merger integration on the business level, there is a…
James D Duffy
Care Authors: ['James D Duffy'] Contemporary psychiatry has become increasingly focused on biological treatments. Many critics claim that the current paradigm of psychiatry has failed to address the escalating mental health-care needs of our communities and may even be contributing to psychopathology and the burden of…
Berta Nicolás, Jacint Sala-Padró, David Cucurell, Mila Santurino + 2 more
Integrating new information into existing schematic structures of knowledge is the basis of learning in our everyday life activity as it enables structured representation of information and goal-directed behaviour in an ever-changing environment. However, how schematic mnemonic structures aid the integration of novel…
Qiong Zhang, Vencislav Popov, Griffin E. Koch, Regina C. Calloway + 1 more
Many of our everyday decisions are based not only on memories of direct experiences, but on memories that are integrated across multiple distinct experiences. Sometimes memory integration between existing memories and newly learnt information occurs rapidly, without requiring inference at the time of a decision. Such…
Authors not listed
Artificial intelligence (AI) is reshaping chemical engineering. Still, its role in safety-critical operations is limited because we rarely see tools that link physical models with data-driven methods. This study brings together three elements: physics-constrained neural networks, uncertainty quantification, and a…
Ammar Ammar, Chris Evelo, Egon Willighagen
New nanomaterials improve our society. Understanding their effects on biological systems is of importance to improve our understanding of their properties and safety. However, reusability of previously produced data to help developing computational risk assessment tools is still limited, due to the inconsistency in…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…
Priyamvada Tripathi, Bill Kapralos
Serious games are widely used for learning and training across domains such as healthcare, defense, and education. Persistent challenges remain, however, including static scenario design, authoring bottlenecks, limited learner modeling, and difficulty implementing meaningful real-time instructional adaptation. Recent…
Authors not listed
The exponential growth of chemical literature necessitates the development of automated tools for extracting and curating molecular information from unstructured scientific publications into open-access chemical databases. Current optical chemical structure recognition (OCSR) and named entity recognition solutions…
Scott E. Allen, A. David Redish, René F. Kizilcec
Learning underlies nearly all human behavior and is central to education and education reform. Although recent advances in neuroscience have revealed the fundamental structure of learning processes, these insights have yet to be integrated into research and practice. Specifically, neuroscience has found that…